https://github.com/yuk6heo/IVOS-ATNet
공식 코드Interactive Video Object Segmentation Using Global and Local Transfer Modules
Papers with Code 아카이브
2D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yulequan/UA-MT
공식 코드Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
https://github.com/yuliang-liu/monkey
공식 코드Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
https://github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection
공식 코드Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
https://github.com/yun-liu/hat-net
공식 코드https://github.com/yunfan1202/Delving-into-Crispness
공식 코드Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
https://github.com/yunkezhang/TCVOM
공식 코드https://github.com/yunlong10/ads-1k
공식 코드Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
https://github.com/yunongLiu1/IKEA-Manuals-at-Work
공식 코드IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
https://github.com/yunwilliamyu/severability
공식 코드Severability of mesoscale components and local time scales in dynamical networks
https://github.com/yupeiyu98/deep-region-competition
공식 코드Unsupervised Foreground Extraction via Deep Region Competition
https://github.com/yupeiyu98/drc
공식 코드Unsupervised Foreground Extraction via Deep Region Competition
https://github.com/yurongchen1998/yurong-lib
공식 코드Towards to Robust and Generalized Medical Image Segmentation Framework
https://github.com/yuweihao/KERN
공식 코드Knowledge-Embedded Routing Network for Scene Graph Generation
https://github.com/yuwenlo/hardnet-dfus
공식 코드https://github.com/yuyinzhou/l2b
공식 코드L2B: Learning to Bootstrap Robust Models for Combating Label Noise
https://github.com/ywyeli/place3d
공식 코드Is Your LiDAR Placement Optimized for 3D Scene Understanding?
https://github.com/yxchng/mask-grounding
공식 코드https://github.com/yyNoBug/VAE_segmentation
공식 코드Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
https://github.com/yyh-rain-song/ReMamber
공식 코드https://github.com/yykzjh/pmfsnet
공식 코드https://github.com/yyliu01/tracoco
공식 코드Translation Consistent Semi-supervised Segmentation for 3D Medical Images
https://github.com/yz93/anchor-diff-VOS
공식 코드https://github.com/yz93/lavt-ris
공식 코드LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
https://github.com/yzhn16/imos
공식 코드A Foundation Model for General Moving Object Segmentation in Medical Images
https://github.com/yzluka/annotationefficiency2d
공식 코드https://github.com/z-x-yang/AOT
공식 코드Associating Objects with Transformers for Video Object Segmentation
https://github.com/z-x-yang/CFBI
공식 코드Collaborative Video Object Segmentation by Foreground-Background Integration
https://github.com/zacharyhorvitz/tinystyler
공식 코드TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
https://github.com/zamling/psalm
공식 코드https://github.com/zang0902/EM-Net
공식 코드EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
https://github.com/zaplm/dc-sam
공식 코드DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
https://github.com/zbf1991/SCL
공식 코드Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
https://github.com/zboyd2/SBM-surface-tension
공식 코드https://github.com/zbwxp/SegVit
공식 코드SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
https://github.com/zc-zhao/drivemonkey
공식 코드Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.