https://github.com/svip-lab/IVOS-W
공식 코드Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Papers with Code 아카이브
Video Object Segmentation
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Video object segmentation is a binary labeling problem aiming to separate foreground object(s) from the background region of a video.
For leaderboards please refer to the different subtasks.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sydney0zq/PTSNet
공식 코드Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
https://github.com/syscv/sam-pt
공식 코드https://github.com/tanveer81/boxvos
공식 코드https://github.com/tapall-ai/mevis_track_solution_2024
공식 코드https://github.com/tensorflow/models
공식 코드FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
https://github.com/tfzhou/MATNet
공식 코드Motion-Attentive Transition for Zero-Shot Video Object Segmentation
https://github.com/uncbiag/livos
공식 코드LiVOS: Light Video Object Segmentation with Gated Linear Matching
https://github.com/ut-vision/actionvos
공식 코드https://github.com/v7labs/xmem_icl
공식 코드Flexible visual prompts for in-context learning in computer vision
https://github.com/visinf/dense-ulearn-vos
공식 코드https://github.com/visionml/pytracking
공식 코드https://github.com/vitae-transformer/vos-llb
공식 코드https://github.com/vujas-eteph/lazyxmem
공식 코드https://github.com/vvarga90/gnn_annot
공식 코드Fast Interactive Video Object Segmentation with Graph Neural Networks
https://github.com/wangbo-zhao/WSVSOD
공식 코드https://github.com/wangchi95/active-boundary-loss
공식 코드https://github.com/weihaosky/CycleSiam
공식 코드Self-supervised Object Tracking with Cycle-consistent Siamese Networks
https://github.com/wenguanwang/vos_correspondence
공식 코드Boosting Video Object Segmentation via Space-time Correspondence Learning
https://github.com/whq-xxh/rvsd
공식 코드https://github.com/wjf5203/vnext
공식 코드https://github.com/wjn922/referformer
공식 코드https://github.com/workforai/gsfm
공식 코드Global Spectral Filter Memory Network for Video Object Segmentation
https://github.com/workforai/qdmn
공식 코드Learning Quality-aware Dynamic Memory for Video Object Segmentation
https://github.com/wudongming97/onlinerefer
공식 코드OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
https://github.com/wuzijian1997/sis-pt-sam
공식 코드https://github.com/xiaoqi-zhao-dlut/multi-source-aps-zvos
공식 코드Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
https://github.com/xilin1991/CluterNet
공식 코드Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
https://github.com/xilin1991/IMCNet
공식 코드Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
https://github.com/xmlyqing00/AFB-URR
공식 코드Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
https://github.com/xvjiarui/VFS
공식 코드Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
https://github.com/xw-hu/unveiling-deep-shadows
공식 코드https://github.com/yihong-97/stict
공식 코드Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
https://github.com/yk-pku/two-shot-video-object-segmentation
공식 코드https://github.com/yoxu515/aot-benchmark
공식 코드Scalable Video Object Segmentation with Identification Mechanism
https://github.com/yoxu515/mits
공식 코드Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.