https://github.com/lemmersj/ground-truth-or-daer
공식 코드Ground-truth or DAER: Selective Re-query of Secondary Information
Papers with Code 아카이브
Video Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 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/leonnnop/locater
공식 코드Local-Global Context Aware Transformer for Language-Guided Video Segmentation
https://github.com/limingxing00/rde-vos-cvpr2022
공식 코드https://github.com/linfengyuan1997/losh
공식 코드LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
https://github.com/linjieyangsc/video_seg
공식 코드https://github.com/liuziyang123/faminet
공식 코드https://github.com/lmm077/SWEM
공식 코드SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
https://github.com/longyin880815/STCNN
공식 코드https://github.com/luyukang/DCTNet
공식 코드Depth-Cooperated Trimodal Network for Video Salient Object Detection
https://github.com/lxa9867/R2VOS
공식 코드Towards Robust Referring Video Object Segmentation with Cyclic Relational Consensus
https://github.com/lxtgh/omg-seg
공식 코드https://github.com/lyxok1/STM-Training
공식 코드Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
https://github.com/magic-research/Sa2VA
공식 코드Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
https://github.com/maoyunyao/joint
공식 코드Joint Inductive and Transductive Learning for Video Object Segmentation
https://github.com/mark12ding/sam2long
공식 코드SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
https://github.com/max810/XMem2
공식 코드XMem++: Production-level Video Segmentation From Few Annotated Frames
https://github.com/mazurowski-lab/SlicerSegmentHumanBody
공식 코드Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
https://github.com/mazurowski-lab/slm-sam2
공식 코드Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
https://github.com/mbzuai-oryx/videomolmo
공식 코드https://github.com/medaitech/rab
공식 코드https://github.com/medaitech/tcmn
공식 코드One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks
https://github.com/menglcool/segic
공식 코드SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
https://github.com/mfaisal59/EpONet
공식 코드EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
https://github.com/microsoft/transductive-vos.pytorch
공식 코드https://github.com/minghanli/univs
공식 코드UniVS: Unified and Universal Video Segmentation with Prompts as Queries
https://github.com/miriambellver/refvos
공식 코드RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
https://github.com/mkg1204/rhmnet-for-ssvos
공식 코드Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
https://github.com/msiam/mmc-multiscalememory
공식 코드Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
https://github.com/msiam/tti_fsvos
공식 코드Temporal Transductive Inference for Few-Shot Video Object Segmentation
https://github.com/mttr2021/MTTR
공식 코드End-to-End Referring Video Object Segmentation with Multimodal Transformers
https://github.com/multimediafor/truvil
공식 코드Trusted Video Inpainting Localization via Deep Attentive Noise Learning
https://github.com/multimediafor/vilocal
공식 코드https://github.com/nankepan/VIPMT
공식 코드Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation
https://github.com/nbei/Deep-Flow-Guided-Video-Inpainting
공식 코드https://github.com/nust-machine-intelligence-laboratory/hcpn
공식 코드Co-attention Propagation Network for Zero-Shot Video Object Segmentation
https://github.com/nust-machine-intelligence-laboratory/hgpu
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.