Papers with Code 아카이브
Video Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 7
- 평가표
- 13
- 보존된 평가 기록
- 96
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/kmaninis/OSVOS-PyTorch
https://github.com/kmaninis/OSVOS-caffe
https://github.com/lhaof/Salient-Object-Detection-Papers
https://github.com/lhaof/fast-salient-object-detection
https://github.com/li-plus/SSM-VOS
https://github.com/lightly-ai/lightly
https://github.com/louisfinner/him2sam
https://github.com/lwye/CMSA-Net
Cross-Modal Self-Attention Network for Referring Image Segmentation
https://github.com/lxx1991/VS-ReID
https://github.com/manantomar/video-occupancy-models
https://github.com/mfaisal59/EpipolarScore
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
https://github.com/mfaisal59/RBSF
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
https://github.com/mkimhi/RISE
https://github.com/nero1342/VATEX
https://github.com/nigelyaoj/self-supervised-amodal-video-object-segmentation
https://github.com/omkar13/MaskTrack
https://github.com/open-mmlab/mmaction2
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
https://github.com/pacifinapacific/PixelFlow
Joint-task Self-supervised Learning for Temporal Correspondence
https://github.com/pwc-1/Paper-10/tree/main/seggpt
https://github.com/rajatkoner08/oodformer
https://github.com/saswat0/CRVOS
https://github.com/scaelles/OSVOS-TensorFlow
https://github.com/seoungwugoh/RGMP
https://github.com/seoungwugoh/STM
https://github.com/seoungwugoh/ivs-demo
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
https://github.com/shallowtoil/DROL
Fast Online Object Tracking and Segmentation: A Unifying Approach
https://github.com/shashankvkt/video_object_segmentation
https://github.com/sithu31296/simple-object-tracking
https://github.com/skynbe/Refer-Youtube-VOS
https://github.com/sunsmarterjie/chatterbox
https://github.com/tensorflow/models/tree/master/research/feelvos
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
https://github.com/tianyuan168326/videosemanticcompression-pytorch
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
https://github.com/tileb1/adasim
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
https://github.com/timmeinhardt/trackformer
https://github.com/ttt496/vit-pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.