#segmentation search results

๐Ÿข๐Ÿข Position-Feature Attention Network-Based Approach for Semantic #Segmentation of #Urban #Building #PointClouds from Airborne Array Interferometric #SAR โœ๏ธ Minan Shi et al. ๐Ÿ”— brnw.ch/21wZTe5

RemoteSens_MDPI's tweet image. ๐Ÿข๐Ÿข Position-Feature Attention Network-Based Approach for Semantic #Segmentation of #Urban #Building #PointClouds from Airborne Array Interferometric #SAR

โœ๏ธ Minan Shi et al.
๐Ÿ”— brnw.ch/21wZTe5

๐Ÿ‘‰๐ŸŒ‘ Detecting #Lunar Linear Structures Based on #Multimodal Semantic #Segmentation: The Case of Sinuous Rilles โœ๏ธ Sheng Zhang et al. ๐Ÿ”— brnw.ch/21x08Jr

RemoteSens_MDPI's tweet image. ๐Ÿ‘‰๐ŸŒ‘ Detecting #Lunar Linear Structures Based on #Multimodal Semantic #Segmentation: The Case of Sinuous Rilles

โœ๏ธ Sheng Zhang et al.
๐Ÿ”— brnw.ch/21x08Jr

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ CSNet: A Remote Sensing #Image #Semantic #Segmentation Network Based on #Coordinate Attention and Skip #Connections โœ๏ธ Jiahao Li et al. ๐Ÿ”— brnw.ch/21x1ulj

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ CSNet: A Remote Sensing #Image #Semantic #Segmentation Network Based on #Coordinate Attention and Skip #Connections

โœ๏ธ Jiahao Li et al.
๐Ÿ”— brnw.ch/21x1ulj

๐ŸŒฝ๐ŸŒพ GLCANet: Globalโ€“Local Context #Aggregation Network for #Cropland #Segmentation from Multi-Source Remote Sensing #Images โœ๏ธ Jinglin Zhang et al. ๐Ÿ”— brnw.ch/21x17VN

RemoteSens_MDPI's tweet image. ๐ŸŒฝ๐ŸŒพ GLCANet: Globalโ€“Local Context #Aggregation Network for #Cropland #Segmentation from Multi-Source Remote Sensing #Images

โœ๏ธ Jinglin Zhang et al.
๐Ÿ”— brnw.ch/21x17VN

No labels, state-of-the-art results! ๐Ÿ“ˆ COIN distills error-free cells from noisy unsupervised masks using OT, SAM-based confidence, and self-distillationโ€”doubling AJI on MoNuSeg and beating weakly-supervised rivals. Read: arxiv.org/abs/2503.11439 #computervision #segmentation


๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Remote Sensing #Image #Segmentation Using Vision #Mamba and Multi-Scale Multi-Frequency #Feature Fusion โœ๏ธ Yice Cao et al. ๐Ÿ”— brnw.ch/21x1ioz

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Remote Sensing #Image #Segmentation Using Vision #Mamba and Multi-Scale Multi-Frequency #Feature Fusion

โœ๏ธ Yice Cao et al.
๐Ÿ”— brnw.ch/21x1ioz

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Hierarchical Transfer Learning with #Transformers to Improve #Semantic #Segmentation in Remote Sensing #LandUse โœ๏ธ Miaomiao Chen and Lianfa Li ๐Ÿ”— brnw.ch/21x1kZn

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Hierarchical Transfer Learning with #Transformers to Improve #Semantic #Segmentation in Remote Sensing #LandUse
 
โœ๏ธ Miaomiao Chen and Lianfa Li
๐Ÿ”— brnw.ch/21x1kZn

Segment capsules with Ultralyticsโ€ฏYOLO! ๐Ÿ’Š Detect each pill or capsule using YOLO segmentation mode. It's ideal for quality control, packaging inspection, or pharma automation. Explore more โžก๏ธ ow.ly/rxMh50Xg2jl #Segmentation #AI #PharmaTech


๐ŸŒพ๐ŸŒพ RiceStageSeg: A Multimodal Benchmark #Dataset for Semantic #Segmentation of #Rice Growth Stages โœ๏ธ Jianping Zhang et al. ๐Ÿ”— brnw.ch/21x0hsP

RemoteSens_MDPI's tweet image. ๐ŸŒพ๐ŸŒพ RiceStageSeg: A Multimodal Benchmark #Dataset for Semantic #Segmentation of #Rice Growth Stages

โœ๏ธ Jianping Zhang et al.
๐Ÿ”— brnw.ch/21x0hsP

๐Ÿข๐Ÿ›๏ธ Genetic #Algorithm Empowering Unsupervised Learning for Optimizing #Building #Segmentation from Light Detection and Ranging #PointClouds โœ๏ธ Muhammad Sulaiman et al. ๐Ÿ”— brnw.ch/21x0S3S

RemoteSens_MDPI's tweet image. ๐Ÿข๐Ÿ›๏ธ Genetic #Algorithm Empowering Unsupervised Learning for Optimizing #Building #Segmentation from Light Detection and Ranging #PointClouds

โœ๏ธ Muhammad Sulaiman et al.
๐Ÿ”— brnw.ch/21x0S3S

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ DLNet: A Dual-Level #Network with Self- and Cross-Attention for High-Resolution #RemoteSensing #Segmentation โœ๏ธ Weijun Meng et al. ๐Ÿ”— brnw.ch/21x1jvV

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ DLNet: A Dual-Level #Network with Self- and Cross-Attention for High-Resolution #RemoteSensing #Segmentation

โœ๏ธ Weijun Meng et al.
๐Ÿ”— brnw.ch/21x1jvV

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Transform Dual-Branch Attention Net: Efficient #Semantic #Segmentation of Ultra-High-Resolution #RemoteSensing #Images โœ๏ธ Bingyun Du et al. ๐Ÿ”— brnw.ch/21x1ipC

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Transform Dual-Branch Attention Net: Efficient #Semantic #Segmentation of Ultra-High-Resolution #RemoteSensing #Images

โœ๏ธ Bingyun Du et al.
๐Ÿ”— brnw.ch/21x1ipC

๐Ÿ“ข #highlycited paper ๐Ÿ“šย #Segmentation of #LiverTumors by Monai and PyTorch in CT Images with Deep Learning Techniques ๐Ÿ”—ย mdpi.com/2076-3417/14/1โ€ฆ ๐Ÿ‘จโ€๐Ÿ”ฌ by Sabir Muhammad et al. ๐Ÿซ University of Jinan/Shandong Provincial Key Laboratory of Network-Based Intelligent Computing/Yantai

Applsci's tweet image. ๐Ÿ“ข #highlycited paper
๐Ÿ“šย #Segmentation of #LiverTumors by Monai and PyTorch in CT Images with Deep Learning Techniques
๐Ÿ”—ย mdpi.com/2076-3417/14/1โ€ฆ
๐Ÿ‘จโ€๐Ÿ”ฌ by Sabir Muhammad et al.
๐Ÿซ University of Jinan/Shandong Provincial Key Laboratory of Network-Based Intelligent Computing/Yantai

๐Ÿ’ง๐Ÿ’ง MPG-Net: A Semantic #Segmentation #Model for Extracting #Aquaculture Ponds in Coastal Areas from #Sentinel2 MSI and Planet SuperDove Images โœ๏ธ Yuyang Chen et al. ๐Ÿ”— brnw.ch/21x0Uxr

RemoteSens_MDPI's tweet image. ๐Ÿ’ง๐Ÿ’ง MPG-Net: A Semantic #Segmentation #Model for Extracting #Aquaculture Ponds in Coastal Areas from #Sentinel2 MSI and Planet SuperDove Images

โœ๏ธ Yuyang Chen et al.
๐Ÿ”— brnw.ch/21x0Uxr

RESOURCE/METHODOLOGY: Synchronization of the segmentation clock using synthetic cellโ€“cell signaling By Akihiro Isomura, Daisuke Asanuma, and Ryoichiro Kageyama โžก๏ธ genesdev.cshlp.org/content/40/1-2โ€ฆ @riken_en #optogenetic #signaling #segmentation #notch

GenesDev's tweet image. RESOURCE/METHODOLOGY: Synchronization of the segmentation clock using synthetic cellโ€“cell signaling
By Akihiro Isomura, Daisuke Asanuma, and Ryoichiro Kageyama
โžก๏ธ genesdev.cshlp.org/content/40/1-2โ€ฆ

@riken_en
#optogenetic #signaling #segmentation #notch

Isolate segmented objects with Ultralytics YOLO11! โœ‚๏ธ Extract individual masks, crop them cleanly, and build custom pipelines for editing, analysis, or dataset preparation, all with a few lines of code. Learn more โžก๏ธ bit.ly/48mtctq #AI #Segmentation #MachineLearning

ultralytics's tweet image. Isolate segmented objects with Ultralytics YOLO11! โœ‚๏ธ

Extract individual masks, crop them cleanly, and build custom pipelines for editing, analysis, or dataset preparation, all with a few lines of code.

Learn more โžก๏ธ bit.ly/48mtctq

#AI #Segmentation #MachineLearning

๐Ÿ‘‹๐Ÿ‘‹ Attention Swin Transformer #UNet for #Landslide #Segmentation in Remotely Sensed Images โœ๏ธ Bingxue Liu et al. ๐Ÿ”— brnw.ch/21x14GO

RemoteSens_MDPI's tweet image. ๐Ÿ‘‹๐Ÿ‘‹ Attention Swin Transformer #UNet for #Landslide #Segmentation in Remotely Sensed Images

โœ๏ธ Bingxue Liu et al.
๐Ÿ”— brnw.ch/21x14GO

Run FastSAM inference with the Ultralytics Python package! Use "track=True" for efficient segmentation with object tracking. It's perfect for high-speed, prompt-free segmentation across multiple frames. Try it now โžก๏ธ ow.ly/KkvR50WUkKo #MachineLearning #Segmentation

ultralytics's tweet image. Run FastSAM inference with the Ultralytics Python package!

Use "track=True" for efficient segmentation with object tracking. It's perfect for high-speed, prompt-free segmentation across multiple frames.

Try it now โžก๏ธ ow.ly/KkvR50WUkKo

#MachineLearning #Segmentation

Via #OPG_OL: Intrusion detection-embedded chaotic encryption via hybrid modulation for data center interconnects bit.ly/46uIyMP #ChaoticEncryption #Segmentation @UESTC1956

OpticaPubsGroup's tweet image. Via #OPG_OL: Intrusion detection-embedded chaotic encryption via hybrid modulation for data center interconnects bit.ly/46uIyMP #ChaoticEncryption #Segmentation @UESTC1956

Traditional perimeter security is no longer enough, especially for schools and manufacturers facing ransomware, legacy systems, and tighter compliance demands. Read the article: re-solution.co.uk/how-to-build-sโ€ฆ #NetworkSecurity #ZeroTrust #Segmentation

resolutionltd's tweet image. Traditional perimeter security is no longer enough, especially for schools and manufacturers facing ransomware, legacy systems, and tighter compliance demands.

Read the article: re-solution.co.uk/how-to-build-sโ€ฆ 

#NetworkSecurity #ZeroTrust #Segmentation

Transformers for Remote Sensing: A Systematic Review and Analysis mdpi.com/1424-8220/24/1โ€ฆ #segmentation #classification #change_detection

Sensors_MDPI's tweet image. Transformers for Remote Sensing: A Systematic Review and Analysis
mdpi.com/1424-8220/24/1โ€ฆ
#segmentation #classification #change_detection

5 ๐Ÿ”„ **Segment Your Audience**: Use automation tools to segment your email list based on behavior and demographics. Targeted emails see 10% higher open rates. Personalization works! #EmailMarketing #Segmentation


๐ŸŒพ๐ŸŒพ Rule-Based Multi-Task #DeepLearning for Highly Efficient #Rice Lodging #Segmentation โœ๏ธ Ming-Der Yang et al. ๐Ÿ”— brnw.ch/21x1TU8

RemoteSens_MDPI's tweet image. ๐ŸŒพ๐ŸŒพ Rule-Based Multi-Task #DeepLearning for Highly Efficient #Rice Lodging #Segmentation

โœ๏ธ Ming-Der Yang et al.
๐Ÿ”— brnw.ch/21x1TU8

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Weakly Supervised Semantic #Segmentation of #RemoteSensing Images Using Siamese Affinity #Network โœ๏ธ Zheng Chen et al. ๐Ÿ”— brnw.ch/21x1Rz8

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Weakly Supervised Semantic #Segmentation of #RemoteSensing Images Using Siamese Affinity #Network

โœ๏ธ Zheng Chen et al.
๐Ÿ”— brnw.ch/21x1Rz8

Companies that segment their email lists see: ๐Ÿ“ˆ 760% increase in revenue ๐Ÿ“ˆ 14% higher open rates ๐Ÿ“ˆ 100% higher click-through rates One list โ‰  one message. Segment EVERYTHING. ๐ŸŽฏ #Segmentation #Revenue


@ZeroNetworks AI Segmentation delivers AI visibility, deterministic control, and containment, turning AI into a governed, enforceable environment. #AI #segmentation #Visibility #deterministic #control #containment buff.ly/vdyMc1S

DigitalITNews1's tweet image. @ZeroNetworks AI Segmentation delivers AI visibility, deterministic control, and containment, turning AI into a governed, enforceable environment. #AI #segmentation #Visibility #deterministic #control #containment buff.ly/vdyMc1S

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ PSNet: A Universal Algorithm for #Multispectral Remote Sensing #Image #Segmentation โœ๏ธ Yifan Zheng et al. ๐Ÿ”— brnw.ch/21x1Na9

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ PSNet: A Universal Algorithm for #Multispectral Remote Sensing #Image #Segmentation

โœ๏ธ Yifan Zheng et al.
๐Ÿ”— brnw.ch/21x1Na9

#Segmentation ๐ŸŽด Dรฉcodez l'intention derriรจre le clic ๐ŸŽฏ Une page "Tarifs" vaut 10 lectures de blog ๐Ÿ“ˆ Le retour rรฉpรฉtรฉ est l'indicateur nยฐ1 d'achat ๐Ÿ“ฉ Le clic thรฉmatique dรฉfinit l'intรฉrรชt rรฉel Segmentez par l'action, pas par la dรฉclaration โ€ข โœ๏ธ @PME_web buff.ly/S3bx8Q7

audreytipsfr's tweet image. #Segmentation ๐ŸŽด Dรฉcodez l'intention derriรจre le clic
๐ŸŽฏ Une page "Tarifs" vaut 10 lectures de blog
๐Ÿ“ˆ Le retour rรฉpรฉtรฉ est l'indicateur nยฐ1 d'achat
๐Ÿ“ฉ Le clic thรฉmatique dรฉfinit l'intรฉrรชt rรฉel
Segmentez par l'action, pas par la dรฉclaration
โ€ข
โœ๏ธ @PME_web
buff.ly/S3bx8Q7

Dalam ilmu #Merketing ada istilah #STP alias #Segmentation, #Targeting & #Positioning. Kalau pernah dengar "target marketnya siapa", di sinilah brand meramu & menanalisa segmen apa saja yg ada, memilih target pada siapa mereka mau jual & memposisikan mau sbg brand yg seperti apa?

ari_aditya's tweet image. Dalam ilmu #Merketing ada istilah #STP alias #Segmentation, #Targeting & #Positioning. Kalau pernah dengar "target marketnya siapa", di sinilah brand meramu & menanalisa segmen apa saja yg ada, memilih target pada siapa mereka mau jual & memposisikan mau sbg brand yg seperti apa?
ari_aditya's tweet image. Dalam ilmu #Merketing ada istilah #STP alias #Segmentation, #Targeting & #Positioning. Kalau pernah dengar "target marketnya siapa", di sinilah brand meramu & menanalisa segmen apa saja yg ada, memilih target pada siapa mereka mau jual & memposisikan mau sbg brand yg seperti apa?
ari_aditya's tweet image. Dalam ilmu #Merketing ada istilah #STP alias #Segmentation, #Targeting & #Positioning. Kalau pernah dengar "target marketnya siapa", di sinilah brand meramu & menanalisa segmen apa saja yg ada, memilih target pada siapa mereka mau jual & memposisikan mau sbg brand yg seperti apa?

Explainable Error Detection in Integrated Circuits Image Segmentation via Graph Neural Networks MA XIAOYU, Jingyang Dai, Feng Ji, Deruo Cheng, Yiqiong Shi, Bah-Hwee Gwee. Action editor: C.V. Jawahar. openreview.net/forum?id=q68B9โ€ฆ #cnn #segmentation #fault


"A 6-person team told me they can't afford hyper-segmentation." They were spending 11hrs/week rebuilding segments manually. The bottleneck was never budget. It was an execution. Convertive auto-segments in real-time. No extra headcount. ๐Ÿš€ #CRMMarketing #Segmentation

convertive_'s tweet image. "A 6-person team told me they can't afford hyper-segmentation."

They were spending 11hrs/week rebuilding segments manually.

The bottleneck was never budget.
It was an execution.

Convertive auto-segments in real-time. No extra headcount. ๐Ÿš€
#CRMMarketing #Segmentation

๐Ÿ”ŽHighly cited Article sharing: "Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging" by Dr. Anh T. Tran, et al. #Neuroimaging #deeplearning #segmentation ๐Ÿ”ฅ25 citations ๐Ÿ‘‰Full text: mdpi.com/3268358

Biomedinfo_MDPI's tweet image. ๐Ÿ”ŽHighly cited Article sharing:
"Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging" by Dr. Anh T. Tran, et al. #Neuroimaging #deeplearning #segmentation
๐Ÿ”ฅ25 citations 
๐Ÿ‘‰Full text: mdpi.com/3268358

ะšะฐะบะพะน % ะฒะฐัˆะตะน ะฑะฐะทั‹ ะฒ "others"? ะงั‚ะพ ั ะฝะธะผ ะฟั€ะพะธัั…ะพะดะธั‚? #iGaming #Segmentation #CRM


Accurate and robust #segmentation of PET fetlocks enables more accurate analysis and novel insights into lesion characterization. ๐ŸŽ Open access article: jav.ma/fetlock2 #AI #CNN #medicalimage

AJVROA's tweet image. Accurate and robust #segmentation of PET fetlocks enables more accurate analysis and novel insights into lesion characterization. ๐ŸŽ Open access article: jav.ma/fetlock2 #AI #CNN #medicalimage

Your Email List Doesn't Have a Deliverability Problem Your 50k list with 12% open rates doesn't have a deliverability problem. It has a conversation problem. You're shouting one message into four different rooms. #EmailMarketing #MarketingAutomation #Segmentation #monday


Membership Attribute Sync lets you share segmentation results across connected workspaces. This keeps the same customer consistently tagged in every workspace within a workspace group, enabling coordinated cross-workspace targeting. #Synerise #Segmentation


๐Ÿ“– Our new ebook explores how advanced segmentation techniques help you move beyond static lists and into dynamic, behavior-based growth. ๐Ÿ‘‰ Download the ebook to learn more: personaclick.com/ebook-advancedโ€ฆ #Segmentation #RealTimeMarketing #Growth #eBook #PersonaClick ๐Ÿซ†

personaclick's tweet image. ๐Ÿ“– Our new ebook explores how advanced segmentation techniques help you move beyond static lists and into dynamic, behavior-based growth.
๐Ÿ‘‰ Download the ebook to learn more: personaclick.com/ebook-advancedโ€ฆ

#Segmentation #RealTimeMarketing #Growth #eBook #PersonaClick ๐Ÿซ†

Segment everything in a frame with @AIatMetaโ€™s SAM2.1 ๐Ÿง  Automatically generate masks for all visible objects, no prompts, clicks, or labels required. Ideal for dataset creation and visual understanding. Learn more โžก๏ธ ow.ly/euSF50Xgb3X #AI #Segmentation #Research

ultralytics's tweet image. Segment everything in a frame with @AIatMetaโ€™s SAM2.1 ๐Ÿง 

Automatically generate masks for all visible objects, no prompts, clicks, or labels required. Ideal for dataset creation and visual understanding.

Learn more โžก๏ธ ow.ly/euSF50Xgb3X

#AI #Segmentation #Research

Isolate segmented objects with Ultralytics YOLO11! โœ‚๏ธ Extract individual masks, crop them cleanly, and build custom pipelines for editing, analysis, or dataset preparation, all with a few lines of code. Learn more โžก๏ธ bit.ly/48mtctq #AI #Segmentation #MachineLearning

ultralytics's tweet image. Isolate segmented objects with Ultralytics YOLO11! โœ‚๏ธ

Extract individual masks, crop them cleanly, and build custom pipelines for editing, analysis, or dataset preparation, all with a few lines of code.

Learn more โžก๏ธ bit.ly/48mtctq

#AI #Segmentation #MachineLearning

Track masks across video frames with FastSAM! Use the model.track method with your video input to get real-time mask tracking using the FastSAM model. Learn more โžก๏ธ ow.ly/Mj2Q50W9UQi #FastSAM #Segmentation #AI

ultralytics's tweet image. Track masks across video frames with FastSAM!

Use the model.track method with your video input to get real-time mask tracking using the FastSAM model.

Learn more โžก๏ธ ow.ly/Mj2Q50W9UQi

#FastSAM #Segmentation #AI

Segment everything with @Meta's SAM2 + Ultralytics! Use zero-shot segmentation to generate masks for all objects, no prompts or clicks required. Ideal for large-scale dataset creation and auto-annotation. Learn more โžก๏ธ ow.ly/Ne8A50Wr0yj #SAM2 #AI #Segmentation

ultralytics's tweet image. Segment everything with @Meta's SAM2 + Ultralytics!

Use zero-shot segmentation to generate masks for all objects, no prompts or clicks required. Ideal for large-scale dataset creation and auto-annotation.

Learn more โžก๏ธ ow.ly/Ne8A50Wr0yj

#SAM2 #AI #Segmentation

Train Ultralytics YOLO11 segmentation models on the package-seg dataset! Detect and segment packages with pixel-level accuracy, ideal for logistics, inventory, and warehouse automation. Start training โžก๏ธ ow.ly/Ak2x50Wr0h0 #YOLO11 #Segmentation #AI

ultralytics's tweet image. Train Ultralytics YOLO11 segmentation models on the package-seg dataset!

Detect and segment packages with pixel-level accuracy, ideal for logistics, inventory, and warehouse automation.

Start training โžก๏ธ ow.ly/Ak2x50Wr0h0

#YOLO11 #Segmentation #AI

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Weakly Supervised Semantic #Segmentation of #RemoteSensing Images Using Siamese Affinity #Network โœ๏ธ Zheng Chen et al. ๐Ÿ”— brnw.ch/21x1Rz8

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Weakly Supervised Semantic #Segmentation of #RemoteSensing Images Using Siamese Affinity #Network

โœ๏ธ Zheng Chen et al.
๐Ÿ”— brnw.ch/21x1Rz8

๐Ÿข๐Ÿข Position-Feature Attention Network-Based Approach for Semantic #Segmentation of #Urban #Building #PointClouds from Airborne Array Interferometric #SAR โœ๏ธ Minan Shi et al. ๐Ÿ”— brnw.ch/21wZTe5

RemoteSens_MDPI's tweet image. ๐Ÿข๐Ÿข Position-Feature Attention Network-Based Approach for Semantic #Segmentation of #Urban #Building #PointClouds from Airborne Array Interferometric #SAR

โœ๏ธ Minan Shi et al.
๐Ÿ”— brnw.ch/21wZTe5

๐Ÿ‘‰๐ŸŒ‘ Detecting #Lunar Linear Structures Based on #Multimodal Semantic #Segmentation: The Case of Sinuous Rilles โœ๏ธ Sheng Zhang et al. ๐Ÿ”— brnw.ch/21x08Jr

RemoteSens_MDPI's tweet image. ๐Ÿ‘‰๐ŸŒ‘ Detecting #Lunar Linear Structures Based on #Multimodal Semantic #Segmentation: The Case of Sinuous Rilles

โœ๏ธ Sheng Zhang et al.
๐Ÿ”— brnw.ch/21x08Jr

Run FastSAM inference with the Ultralytics Python package! Use "track=True" for efficient segmentation with object tracking. It's perfect for high-speed, prompt-free segmentation across multiple frames. Try it now โžก๏ธ ow.ly/KkvR50WUkKo #MachineLearning #Segmentation

ultralytics's tweet image. Run FastSAM inference with the Ultralytics Python package!

Use "track=True" for efficient segmentation with object tracking. It's perfect for high-speed, prompt-free segmentation across multiple frames.

Try it now โžก๏ธ ow.ly/KkvR50WUkKo

#MachineLearning #Segmentation

Segment objects using prompt-based segmentation with @AIatMeta SAM2 using Ultralytics Python package! Simply pass a bounding box to generate accurate masks, ideal for precise annotations and interactive labeling. Learn more โžก๏ธ ow.ly/TyC250Wavmh #SAM2 #Segmentation #AI

ultralytics's tweet image. Segment objects using prompt-based segmentation with @AIatMeta SAM2 using Ultralytics Python package!

Simply pass a bounding box to generate accurate masks, ideal for precise annotations and interactive labeling.

Learn more โžก๏ธ ow.ly/TyC250Wavmh

#SAM2 #Segmentation #AI

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Hierarchical Transfer Learning with #Transformers to Improve #Semantic #Segmentation in Remote Sensing #LandUse โœ๏ธ Miaomiao Chen and Lianfa Li ๐Ÿ”— brnw.ch/21x1kZn

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Hierarchical Transfer Learning with #Transformers to Improve #Semantic #Segmentation in Remote Sensing #LandUse
 
โœ๏ธ Miaomiao Chen and Lianfa Li
๐Ÿ”— brnw.ch/21x1kZn

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Remote Sensing #Image #Segmentation Using Vision #Mamba and Multi-Scale Multi-Frequency #Feature Fusion โœ๏ธ Yice Cao et al. ๐Ÿ”— brnw.ch/21x1ioz

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Remote Sensing #Image #Segmentation Using Vision #Mamba and Multi-Scale Multi-Frequency #Feature Fusion

โœ๏ธ Yice Cao et al.
๐Ÿ”— brnw.ch/21x1ioz

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Transform Dual-Branch Attention Net: Efficient #Semantic #Segmentation of Ultra-High-Resolution #RemoteSensing #Images โœ๏ธ Bingyun Du et al. ๐Ÿ”— brnw.ch/21x1ipC

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ Transform Dual-Branch Attention Net: Efficient #Semantic #Segmentation of Ultra-High-Resolution #RemoteSensing #Images

โœ๏ธ Bingyun Du et al.
๐Ÿ”— brnw.ch/21x1ipC

๐ŸŒฝ๐ŸŒพ GLCANet: Globalโ€“Local Context #Aggregation Network for #Cropland #Segmentation from Multi-Source Remote Sensing #Images โœ๏ธ Jinglin Zhang et al. ๐Ÿ”— brnw.ch/21x17VN

RemoteSens_MDPI's tweet image. ๐ŸŒฝ๐ŸŒพ GLCANet: Globalโ€“Local Context #Aggregation Network for #Cropland #Segmentation from Multi-Source Remote Sensing #Images

โœ๏ธ Jinglin Zhang et al.
๐Ÿ”— brnw.ch/21x17VN

Run instance segmentation using Ultralytics YOLO11! ๐Ÿง  Use "solutions.InstanceSegmentation" to detect and segment objects with pixel-level precision, ideal for real-world visual understanding. Learn more โžก๏ธ ow.ly/VVFG50WZXRz #MachineLearning #Segmentation #AI

ultralytics's tweet image. Run instance segmentation using Ultralytics YOLO11! ๐Ÿง 

Use "solutions.InstanceSegmentation" to detect and segment objects with pixel-level precision, ideal for real-world visual understanding.

Learn more โžก๏ธ ow.ly/VVFG50WZXRz

#MachineLearning #Segmentation #AI

๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ DLNet: A Dual-Level #Network with Self- and Cross-Attention for High-Resolution #RemoteSensing #Segmentation โœ๏ธ Weijun Meng et al. ๐Ÿ”— brnw.ch/21x1jvV

RemoteSens_MDPI's tweet image. ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ DLNet: A Dual-Level #Network with Self- and Cross-Attention for High-Resolution #RemoteSensing #Segmentation

โœ๏ธ Weijun Meng et al.
๐Ÿ”— brnw.ch/21x1jvV

๐ŸŒพ๐ŸŒพ Rule-Based Multi-Task #DeepLearning for Highly Efficient #Rice Lodging #Segmentation โœ๏ธ Ming-Der Yang et al. ๐Ÿ”— brnw.ch/21x1TU8

RemoteSens_MDPI's tweet image. ๐ŸŒพ๐ŸŒพ Rule-Based Multi-Task #DeepLearning for Highly Efficient #Rice Lodging #Segmentation

โœ๏ธ Ming-Der Yang et al.
๐Ÿ”— brnw.ch/21x1TU8

๐ŸŒพ๐ŸŒพ RiceStageSeg: A Multimodal Benchmark #Dataset for Semantic #Segmentation of #Rice Growth Stages โœ๏ธ Jianping Zhang et al. ๐Ÿ”— brnw.ch/21x0hsP

RemoteSens_MDPI's tweet image. ๐ŸŒพ๐ŸŒพ RiceStageSeg: A Multimodal Benchmark #Dataset for Semantic #Segmentation of #Rice Growth Stages

โœ๏ธ Jianping Zhang et al.
๐Ÿ”— brnw.ch/21x0hsP

๐Ÿ“ƒ๐Ÿ“ƒ A Systematic #Literature #Review and Bibliometric Analysis of Semantic #Segmentation Models in #LandCover Mapping โœ๏ธ Segun Ajibola and Pedro Cabral ๐Ÿ”— brnw.ch/21wZn8p

RemoteSens_MDPI's tweet image. ๐Ÿ“ƒ๐Ÿ“ƒ A Systematic #Literature #Review and Bibliometric Analysis of Semantic #Segmentation Models in #LandCover Mapping

โœ๏ธ Segun Ajibola and Pedro Cabral
๐Ÿ”— brnw.ch/21wZn8p

Segmentation masks using @ultralytics YOLO11 + @Meta SAM 2 Model โค๏ธโ€๐Ÿ”ฅ ๐Ÿ–‡๏ธ Code: visionusecases.com/usecases/segmeโ€ฆ Give it a try and let me know your thoughts in the comments below. ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡ #ai #segmentation #computervision

muhammdrizwanmr's tweet image. Segmentation masks using @ultralytics YOLO11 + @Meta SAM 2 Model โค๏ธโ€๐Ÿ”ฅ 

๐Ÿ–‡๏ธ Code: visionusecases.com/usecases/segmeโ€ฆ

Give it a try and let me know your thoughts in the comments below. ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

#ai #segmentation #computervision

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