#semanticsegmentation search results
New post on DebuggerCafe - Train UNet from Scratch using PyTorch debuggercafe.com/training-unet-… #PyTorch #UNet #SemanticSegmentation
New post on DebuggerCafe - Implement UNet from scratch using PyTorch debuggercafe.com/unet-from-scra… #PyTorch #SemanticSegmentation #UNet #UNetFromScratch #UNetPyTorch #UNetSegmentation #DeepLearning
Momentum Adapt is a vital solution for addressing temporal inconsistency in video semantic segmentation. Discover more about this innovative approach here: nokia.ly/3OVtq1s #NokiaInnovates #SemanticSegmentation #VideoCoding
💡Enhance AI with 3D LiDAR Point Cloud Annotation! From #SemanticSegmentation to Object Tracking, it powers #AutonomousVehicles, #SmartCities, & #Robotics. Improve your ML model with accurate point cloud data. bit.ly/4m6QYPJ #AI #3DLiDAR #PointCloud #ML
🔥 Read our Highly Cited Paper 📚 A #DeepLearning Approach to #SemanticSegmentation of #SteelMicrostructures 🔗 mdpi.com/2076-3417/14/6… 👨🔬 Jorge Muñoz-Rodenas 🏫 @uclm_es #lowcarbonsteels #opticalmicrostructure
Proposing a cost-effective deep learning method for semantic segmentation in plant images, focusing on wheat heads. Achieved high performance with minimal manual annotation. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
🔥 Read our Highly Cited Paper 📚Semantic Segmentation of Aerial #Imagery Using U-Net with Self-Attention and Separable Convolutions 🔗mdpi.com/2076-3417/14/9… 👨🔬by Bakht Alam Khan and Jin-Woo Jung @DG_univ #semanticsegmentation #UNet
Revolutionizing deep learning: Our method minimizes manual annotation for semantic segmentation, boosting performance in wheat head identification. Versatile application across domains. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
🎥Check out our latest video showing you how to use pre-trained semantic segmentation models from TensorFlow Hub easily! #TensorFlow #MachineLearning #SemanticSegmentation #PretrainedModels youtube.com/watch?v=tJHMcD… #AI #ArtificialIntelligence #opencv
Exploring deep learning for wheat head segmentation with minimal manual annotation. Leveraging computationally annotated datasets and domain adaptation, our U-Net model achieves high Dice scores across diverse datasets. #AI #SemanticSegmentation Details: spj.science.org/doi/10.34133/p…
👋👉 Controllable Fused #SemanticSegmentation with #AdaptiveEdgeLoss for Remote Sensing Parsing ✍️ Xudong Sun et al. 📎 brnw.ch/21wNvdi
"Deep learning's potential in large datasets hindered by costly manual annotation. Our method minimizes this for semantic segmentation, focusing on wheat heads, achieving high performance with minimal labels. #AI #SemanticSegmentation Details: spj.science.org/doi/10.34133/p…
Semantic segmentation of #urbanscenes using several different convolutional neural networks with an encoder/decoder architecture: “Urban scene #semanticsegmentation using the U-Net model” by M. Ciecholewski. ACSIS Vol. 35 p. 907–912; tinyurl.com/5ae6jubv
Big news! #SemanticSegmentation is now part of Kognic's data exploration tools. Dive deep into your datasets, compare model predictions with annotated data, and uncover valuable insights. Ready to explore? #Datasetmanagement #Kognic #SemSeg
Videos to intelligent 3D models? We've turned videos into 3D point clouds, but that's just the start – our AI makes them smarter! See how our AI enables spatial scene understanding in indoor environments, from cozy villas🏡 to sprawling office spaces🏢#SemanticSegmentation #AI
👋👋 Knowledge Enhanced #NeuralNetworks for #PointCloud #SemanticSegmentation ✍️ Grilli, E. et al. 📎 brnw.ch/21wNlLI
#mostdownloaded 📢A Method Combining Line Detection and #SemanticSegmentation for Power Line Extraction from #UnmannedAerialVehicle Images by Wenbo Zhao, Qing Dong and Zhengli Zuo mdpi.com/2072-4292/14/6… #UAV
DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene mdpi.com/1424-8220/24/7… #semanticsegmentation
#mostdownloaded 📑A Block Shuffle Network with Superpixel Optimization for #Landsat Image #SemanticSegmentation by Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai and Pan Chen mdpi.com/2072-4292/14/6… #deeplearning
👉👉 Using Multisource #HighResolution Remote Sensing Data (2 m) with a #Habitat–Tide–#SemanticSegmentation Approach for #Mangrove Mapping ✍️ Ziyu Sun et al. 📎 brnw.ch/21wNuwu
We published the tutorial “Getting Started with Semantic Segmentation in PyTorch Using SMP” at the #SIBGRAPI2025 (Salvador, Brazil)! 📂 Code and materials: github.com/joaofmari/tuto… Thanks to CNPq, CAPES, FAPEMIG, NVIDIA, and UFV-CRP. #SemanticSegmentation #PyTorch #SMP
STEP reduces Vision Transformer computation via supertoken merging and early pruning, boosting efficiency with minimal accuracy loss. #VisionTransformer #STEP #SemanticSegmentation #Token #Efficiency #dCTS #AIResearch #HighResolution @MichalSzczepanski @KarimHaroun
💡 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐯𝐬 𝐈𝐧𝐬𝐭𝐚𝐧𝐜𝐞 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 | 𝟐𝟎𝟐𝟓 𝐆𝐮𝐢𝐝𝐞 👉 Check it out: na2.hubs.ly/y0-Sq90 #LTSGDS #dataannotation #semanticsegmentation #instancesegmentation
MMSegmentation's modular design is a game changer. Deconstructing segmentation tasks into components unlocks rapid experimentation and custom model architectures. Thinking this could drastically cut down dev time. #SemanticSegmentation #Python #AI
🔥 Read our Highly Cited Paper 📚Semantic Segmentation of Aerial #Imagery Using U-Net with Self-Attention and Separable Convolutions 🔗mdpi.com/2076-3417/14/9… 👨🔬by Bakht Alam Khan and Jin-Woo Jung @DG_univ #semanticsegmentation #UNet
💡 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧? | 𝟐𝟎𝟐𝟓 𝐆𝐮𝐢𝐝𝐞 👉 Check it out: na2.hubs.ly/y0JrR20 #LTSGDS #semanticsegmentation
🔥 Read our Highly Cited Paper 📚 A #DeepLearning Approach to #SemanticSegmentation of #SteelMicrostructures 🔗 mdpi.com/2076-3417/14/6… 👨🔬 Jorge Muñoz-Rodenas 🏫 @uclm_es #lowcarbonsteels #opticalmicrostructure
💡Enhance AI with 3D LiDAR Point Cloud Annotation! From #SemanticSegmentation to Object Tracking, it powers #AutonomousVehicles, #SmartCities, & #Robotics. Improve your ML model with accurate point cloud data. bit.ly/4m6QYPJ #AI #3DLiDAR #PointCloud #ML
🔥 Read our Highly Cited Paper 📚 nmODE-Unet: A Novel Network for #SemanticSegmentation of #MedicalImages 🔗 mdpi.com/2076-3417/14/1… 👨🔬 Shubin Wang, Yuanyuan Chen and Zhang Yi 🏫 @SCUCN #deepneuralnetworks #deeplearning
New paper out! It's an overview of deep learning methods for 2D semantic segmentation with benchmarks, datasets, metrics, and insights into future directions. Acks ➡️ @ULusofona @fct_pt @UNINOVA @lasige #semanticsegmentation #deeplearning #2dsegmentation mdpi.com/2673-4117/6/7/…
Semantic Guidance Fusion Network for Cross-Modal Semantic Segmentation mdpi.com/1424-8220/24/8… #semanticsegmentation
BMSeNet: Multiscale Context Pyramid Pooling and Spatial Detail Enhancement Network for Real-Time Semantic Segmentation mdpi.com/1424-8220/24/1… #semanticsegmentation
DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene mdpi.com/1424-8220/24/7… #semanticsegmentation
A Semantic Segmentation Method Based on AS-Unet++ for Power Remote Sensing of Images mdpi.com/1424-8220/24/1… #semanticsegmentation
💡Enhance AI with 3D LiDAR Point Cloud Annotation! From #SemanticSegmentation to Object Tracking, it powers #AutonomousVehicles, #SmartCities, & #Robotics. Improve your ML model with accurate point cloud data. bit.ly/4m6QYPJ #AI #3DLiDAR #PointCloud #ML
New post on DebuggerCafe - Train UNet from Scratch using PyTorch debuggercafe.com/training-unet-… #PyTorch #UNet #SemanticSegmentation
New post on DebuggerCafe - Implement UNet from scratch using PyTorch debuggercafe.com/unet-from-scra… #PyTorch #SemanticSegmentation #UNet #UNetFromScratch #UNetPyTorch #UNetSegmentation #DeepLearning
🔥 Read our Highly Cited Paper 📚 A #DeepLearning Approach to #SemanticSegmentation of #SteelMicrostructures 🔗 mdpi.com/2076-3417/14/6… 👨🔬 Jorge Muñoz-Rodenas 🏫 @uclm_es #lowcarbonsteels #opticalmicrostructure
👋👋 Knowledge Enhanced #NeuralNetworks for #PointCloud #SemanticSegmentation ✍️ Grilli, E. et al. 📎 brnw.ch/21wNlLI
👋👉 Controllable Fused #SemanticSegmentation with #AdaptiveEdgeLoss for Remote Sensing Parsing ✍️ Xudong Sun et al. 📎 brnw.ch/21wNvdi
#mostdownloaded 📢A Method Combining Line Detection and #SemanticSegmentation for Power Line Extraction from #UnmannedAerialVehicle Images by Wenbo Zhao, Qing Dong and Zhengli Zuo mdpi.com/2072-4292/14/6… #UAV
🔥 Read our Highly Cited Paper 📚Semantic Segmentation of Aerial #Imagery Using U-Net with Self-Attention and Separable Convolutions 🔗mdpi.com/2076-3417/14/9… 👨🔬by Bakht Alam Khan and Jin-Woo Jung @DG_univ #semanticsegmentation #UNet
👉👉 Using Multisource #HighResolution Remote Sensing Data (2 m) with a #Habitat–Tide–#SemanticSegmentation Approach for #Mangrove Mapping ✍️ Ziyu Sun et al. 📎 brnw.ch/21wNuwu
👉👉 DNAS: Decoupling #NeuralArchitecture Search for #HighResolution Remote Sensing Image #SemanticSegmentation ✍️ Yu Wang et al. 📎 mdpi.com/2072-4292/14/1…
#mostdownloaded 📑A Block Shuffle Network with Superpixel Optimization for #Landsat Image #SemanticSegmentation by Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai and Pan Chen mdpi.com/2072-4292/14/6… #deeplearning
#remotesensing 📢#SemanticSegmentation of #AerialImagery via Split-Attention Networks with Disentangled Non-Local and Edge Supervision by Cheng Zhang, Wanshou Jiang and Qing Zhao 👉 Read the full article: mdpi.com/2072-4292/13/6…
👋 👋 #DeepLearning-Based #SemanticSegmentation Approach for #PointClouds of Extra-#HighVoltage #TransmissionLines ✍️ Yu, H., Wang, Z. et al. 📎 brnw.ch/21wNlaV
Proposing a cost-effective deep learning method for semantic segmentation in plant images, focusing on wheat heads. Achieved high performance with minimal manual annotation. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
#notablepaper 📢MFANet: A Multi-Level Feature Aggregation Network for #SemanticSegmentation of #LandCover by Bingyu Chen, Min Xia and Junqing Huang mdpi.com/2072-4292/13/4… #FeatureExtraction
Big news! #SemanticSegmentation is now part of Kognic's data exploration tools. Dive deep into your datasets, compare model predictions with annotated data, and uncover valuable insights. Ready to explore? #Datasetmanagement #Kognic #SemSeg
Revolutionizing deep learning: Our method minimizes manual annotation for semantic segmentation, boosting performance in wheat head identification. Versatile application across domains. #DeepLearning #SemanticSegmentation Details:spj.science.org/doi/10.34133/p…
Exploring deep learning for wheat head segmentation with minimal manual annotation. Leveraging computationally annotated datasets and domain adaptation, our U-Net model achieves high Dice scores across diverse datasets. #AI #SemanticSegmentation Details: spj.science.org/doi/10.34133/p…
👋👋👉 #SemanticSegmentation (U-Net) of #Archaeological Features in Airborne #LaserScanning—Example of the Białowieża Forest ✍️ Paweł Zbigniew Banasiak et al. 📎 brnw.ch/21wNDVS
🛰️🛩️🖼️ #PGNet: Positioning Guidance Network for #SemanticSegmentation of Very-#HighResolution Remote Sensing Images ✍️ Bo Liu et al. 📎 mdpi.com/2072-4292/14/1…
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