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#segmentanything 搜尋結果

未找到 "#segmentanything" 的結果
HaoTang_ai's profile picture. Assistant Professor@Peking_University | Postdoc@CMU and ETH Zurich | Visitor@University of Oxford | PhD@UoT | Intern@IIAI and NEU
Hao Tang
 @HaoTang_ai
年10月17日

🚀 Big news! Our paper MaskSAM is heading to #ICCV2025 in Hawaii! 🌺🌴 We make SAM smarter for medical image segmentation — no prompts, just mask magic 🩺✨ (+2.7% Dice on AMOS2022). 🔗 arxiv.org/abs/2403.14103 #MaskSAM #SegmentAnything #MedicalImaging #AIforHealthcare

HaoTang_ai's tweet image. 🚀 Big news! Our paper MaskSAM is heading to #ICCV2025 in Hawaii! 🌺🌴 We make SAM smarter for medical image segmentation — no prompts, just mask magic 🩺✨ (+2.7% Dice on AMOS2022). 🔗 arxiv.org/abs/2403.14103 #MaskSAM #SegmentAnything #MedicalImaging #AIforHealthcare
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TechMavAbhiroop's profile picture. Backend Engineer | Python & Django | AI & Deep Learning Enthusiast | Exploring Generative AI | #0to100xEngineer | Building smarter, not harder
abhiroop bhattacharyya
 @TechMavAbhiroop
年8月4日

Day 16 of the #0to100xEngineer Journey Manual masking? Painful. Lighting mismatch? Fake. 🔹 GroundingDINO + SAM = text-based object masks 🔹 IC-Light - auto relighting for any scene - Fast, clean, photoreal edits - perfect for product visuals. #SegmentAnything #ICLight

TechMavAbhiroop's tweet image. Day 16 of the #0to100xEngineer Journey Manual masking? Painful. Lighting mismatch? Fake. 🔹 GroundingDINO + SAM = text-based object masks 🔹 IC-Light - auto relighting for any scene - Fast, clean, photoreal edits - perfect for product visuals. #SegmentAnything #ICLight
TechMavAbhiroop's tweet image. Day 16 of the #0to100xEngineer Journey Manual masking? Painful. Lighting mismatch? Fake. 🔹 GroundingDINO + SAM = text-based object masks 🔹 IC-Light - auto relighting for any scene - Fast, clean, photoreal edits - perfect for product visuals. #SegmentAnything #ICLight
TechMavAbhiroop's tweet image. Day 16 of the #0to100xEngineer Journey Manual masking? Painful. Lighting mismatch? Fake. 🔹 GroundingDINO + SAM = text-based object masks 🔹 IC-Light - auto relighting for any scene - Fast, clean, photoreal edits - perfect for product visuals. #SegmentAnything #ICLight
TechMavAbhiroop's tweet image. Day 16 of the #0to100xEngineer Journey Manual masking? Painful. Lighting mismatch? Fake. 🔹 GroundingDINO + SAM = text-based object masks 🔹 IC-Light - auto relighting for any scene - Fast, clean, photoreal edits - perfect for product visuals. #SegmentAnything #ICLight
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avigupta2798's profile picture. Phd Scholar at @IIITDelhi, Computer Vision | NICE Lab | ex-@TCS
Avi Gupta
 @avigupta2798
年8月2日

In this work, we explore how wavelet transforms can be used to adapt SAM, a large vision model, to low-level vision tasks--Camouflaged Object Detection, Shadow Detection, Blur Detection, PolyP Detection. #SegmentAnything

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nabolitain's profile picture. PhD student in Artificial Intelligence | Research: #federated_learning, #ai_in_healthcare | Senior Software Engineering | JS and Python Lover
Charmake Moussa Abdi
 @nabolitain
年7月10日

Thrilled to present at AICSET 2025 (Marrakech, July 14–16) Our paper “SAM-NeuroAdapt: A Robust MRI Pre-processing Pipeline for Atlas-Guided Brain Segmentation” has been accepted for oral presentation: #IA #NeuroImagerie #SegmentAnything #ICSET #AICSET

nabolitain's tweet image. Thrilled to present at AICSET 2025 (Marrakech, July 14–16) Our paper “SAM-NeuroAdapt: A Robust MRI Pre-processing Pipeline for Atlas-Guided Brain Segmentation” has been accepted for oral presentation: #IA #NeuroImagerie #SegmentAnything #ICSET #AICSET
nabolitain's tweet image. Thrilled to present at AICSET 2025 (Marrakech, July 14–16) Our paper “SAM-NeuroAdapt: A Robust MRI Pre-processing Pipeline for Atlas-Guided Brain Segmentation” has been accepted for oral presentation: #IA #NeuroImagerie #SegmentAnything #ICSET #AICSET
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ultralytics's profile picture. Simpler. Smarter. Further.
Ultralytics
@ultralytics
年5月23日

New tutorial | @AIatMeta Segment Anything 2 in @Google Colab with Ultralytics! 🚀 Segment objects using point and box prompts, or segment everything automatically with a ready-to-use Colab notebook. Watch here ➡️ ow.ly/1brb50VXBtC #SAM2 #SegmentAnything #Ultralytics #AI

ultralytics's tweet image. New tutorial | @AIatMeta Segment Anything 2 in @Google Colab with Ultralytics! 🚀 Segment objects using point and box prompts, or segment everything automatically with a ready-to-use Colab notebook. Watch here ➡️ ow.ly/1brb50VXBtC #SAM2 #SegmentAnything #Ultralytics #AI
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hungrydumpling_'s profile picture. making videos with ai @madebyhotpot lover of 🥟🧘‍♀️🎨👩🏻‍💻 | ycs20 🍊
Amy Liu 🥟
@hungrydumpling_
年5月12日

Shocked 💀⚡️ Initially tried to use #klingai for the ball swap but found the mask too restricting. Ended up using a custom #ComfyUI workflow with #segmentanything and VACE!! Featuring @sweaty__palms getting electrocuted 😬

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gabTrivv's profile picture. PhD student at Vandal Lab ex Research intern at CIIRC in Prague
Gabriele Trivigno
 @gabTrivv
年3月24日

🔥 Our paper SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation is accepted at #CVPR2025! 🎉 We make #SegmentAnything wiser, enabling it to understand text prompts—training only 4.9M parameters! 🧠 💻 Code, models & demo: github.com/ClaudiaCuttano… Why SAMWISE?👇

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muhammdrizwanmr's profile picture. Computer vision, Growth @ultralytics | Influencer | Opensource contributor | Technical writer | YOLO11 🚀 | VLM's
Muhammad Rizwan Munawar
@muhammdrizwanmr
年3月2日

Inference using @Meta SAM and SAM2 using @ultralytics notebook 😍 This week, we have added the Segment Anything model notebook, Give it a try and share your thoughts 👇 Notebook➡️github.com/ultralytics/no… #computervision #segmentanything #ai #metaai

muhammdrizwanmr's tweet image. Inference using @Meta SAM and SAM2 using @ultralytics notebook 😍 This week, we have added the Segment Anything model notebook, Give it a try and share your thoughts 👇 Notebook➡️github.com/ultralytics/no… #computervision #segmentanything #ai #metaai
muhammdrizwanmr's tweet image. Inference using @Meta SAM and SAM2 using @ultralytics notebook 😍 This week, we have added the Segment Anything model notebook, Give it a try and share your thoughts 👇 Notebook➡️github.com/ultralytics/no… #computervision #segmentanything #ai #metaai
muhammdrizwanmr's tweet image. Inference using @Meta SAM and SAM2 using @ultralytics notebook 😍 This week, we have added the Segment Anything model notebook, Give it a try and share your thoughts 👇 Notebook➡️github.com/ultralytics/no… #computervision #segmentanything #ai #metaai
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PhongYewTong's profile picture. Software Engineer Discover websites & AI tools daily. https://t.co/dKk7PZkQLH (170k) https://t.co/T04dqf2ZXt (120k)
Phong Yew Tong
 @PhongYewTong
年11月15日

Website that gives you SUPERPOWER (Part 1). Create video cutouts and effects with a few clicks using AI for free using sam2.metademolab. 🤯 #meta #segmentanything #videoeffects #website  #free #aiapp #aisoftware #videoeditingsoftware #aiwebsite #metaai

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ultralytics's profile picture. Simpler. Smarter. Further.
Ultralytics
@ultralytics
年10月31日

Auto Annotation using SAM2 & Ultralytics 🚀 You can streamline your annotation workflow using Segment Anything 2 (SAM2), which allows for automatic data segmentation, reducing manual effort and saving time. Learn more: docs.ultralytics.com/models/sam-2/ #segmentanything #ai #ml

ultralytics's tweet image. Auto Annotation using SAM2 & Ultralytics 🚀 You can streamline your annotation workflow using Segment Anything 2 (SAM2), which allows for automatic data segmentation, reducing manual effort and saving time. Learn more: docs.ultralytics.com/models/sam-2/ #segmentanything #ai #ml
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vladrezdev's profile picture. Notes on analytics, dev, design, finance. Semi-automated.
𝕕𝕖𝕧 / 𝕒𝕔𝕔 | Vlad Rez
@vladrezdev
2024年10月15日

Using Meta's Segment Anything to break down a graphics card into its components. #SegmentAnything #MetaAI #ComputerVision #Python

vladrezdev's tweet image. Using Meta's Segment Anything to break down a graphics card into its components. #SegmentAnything #MetaAI #ComputerVision #Python
vladrezdev's tweet image. Using Meta's Segment Anything to break down a graphics card into its components. #SegmentAnything #MetaAI #ComputerVision #Python
vladrezdev's tweet image. Using Meta's Segment Anything to break down a graphics card into its components. #SegmentAnything #MetaAI #ComputerVision #Python
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wata909's profile picture. わたＧとも呼ばれる何者か。日本のどこかで古い地図を見たり，デジタル化したり，https://t.co/mrcOZ3StjS だったり、同人音楽を聴いたり，巡礼したり、アルバレス将軍に続いたり、Omegaの瞳の祝福だったりします。いろことえるこの父。
wata909@鳥取
 @wata909
2024年9月20日

#SegmentAnything , 本当になんでも分けるのですね・・・。すごい。

imvisionlabs's profile picture. 3次元点群や画像データの受託開発・研究開発を行う東大発スタートアップ企業です。森林管理・スマート農業・インフラ管理・自動運転など、様々な分野で3次元データ処理で役立てないか日々模索中です。日ごろの勉強した結果やプログラミングしてみた結果を投稿します。
Kenta@ImVisionLabs Inc.
@imvisionlabs
2024年9月20日

#東京都デジタルツイン実現プロジェクト により公開されている三鷹市の3次元 #点群 のセグメンテーションを行いました。#SegmentAnything を利用して建物や樹木ごとに分けています。物体ごとに色分けされて示されています。

imvisionlabs's tweet image. #東京都デジタルツイン実現プロジェクト により公開されている三鷹市の3次元 #点群 のセグメンテーションを行いました。#SegmentAnything を利用して建物や樹木ごとに分けています。物体ごとに色分けされて示されています。
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ScanXm's profile picture. Medical Image Visualization and Annotation Software by Minogame Ltd.
ScanXm
 @ScanXm
2024年9月17日

You can now run Segment Anything 2 in ScanXm! ScanXm is free for non-commercial use and available for download at scanxm.com/scanxm/. Instructions for SAM2 are here: scanxm.com/segment-anythi… #SegmentAnything #ScanXm #Minogame #Meta #MedicalImaging #ArtificialIntelligence

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MongelliMegan's profile picture. 💻#TechnologyIntegrationSpecialist | 🏆#CertifiedGoogleTrainer | 🎉 #PBLEnthusiast |🤓 #EdTechInnovator |📊Spreadsheets are my love language
Megan Mongelli
 @MongelliMegan
2024年9月9日

👀Check out Megan's Megabytes: A Bit of Tech to Try! 🔗 bit.ly/MegansMegabytes 🤖 @TCEA shared 30+ ways to use #Gemini in the Classroom 💎 Hidden gems in your #SMART ink and touch tools 😎 #SegmentAnything video cutout tool 💜 @magicschoolai Presentation generator tool

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CryenxLabs's profile picture. Designing Augmented Reality Experiences for the Next Billion Users.
Cryenx Labs
 @CryenxLabs
2024年8月1日

Just blew my mind with SAM2! 🤯 This new Meta Segment tool is insanely fast for object tracking in video. sam2.metademolab.com/demo #meta #ai #segmentanything #videoediting

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