Papers with Code 아카이브
Video Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/computationalpathologygroup/hvit
https://github.com/cplab/annolid
https://github.com/cvlab-kaist/MUG-VOS
https://github.com/cy-xu/spatially_aware_ai
https://github.com/dcnieho/segment-anything-2
https://github.com/dksakkos/illumination_augmentation
Illumination-Based Data Augmentation for Robust Background Subtraction
https://github.com/dongkwonjin/Semantic-Line-DRM
Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/dongkwonjin/Semantic-Line-SLNet
Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/ezelikman/anonymal
Fast Online Object Tracking and Segmentation: A Unifying Approach
https://github.com/facebookresearch/segment-anything
https://github.com/facebookresearch/vissl
https://github.com/foolwood/SiamMask
Fast Online Object Tracking and Segmentation: A Unifying Approach
https://github.com/griffbr/ODMD
Learning Object Depth from Camera Motion and Video Object Segmentation
https://github.com/griffbr/VOSVS
https://github.com/guanfuchen/video_obj
Fast and Accurate Online Video Object Segmentation via Tracking Parts
https://github.com/gunpowder78/PReMVOS
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
https://github.com/hasibzunair/peekaboo
https://github.com/hkchengrex/Mask-Propagation
https://github.com/hkchengrex/Scribble-to-Mask
https://github.com/ibaiGorordo/ONNX-SAM2-Segment-Anything
https://github.com/idea-research/grounded-sam-2
https://github.com/idilesenzulfikar/UNOVOST
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
https://github.com/imatge-upc/refvos
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
https://github.com/insomnia94/ARG
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning
https://github.com/ipmi-icns-uke/sparsam
https://github.com/isyangshu/amc-net
https://github.com/jankrepl/mildlyoverfitted
https://github.com/jmnolte/hccnet
https://github.com/joakimjohnander/agame-vos
A Generative Appearance Model for End-to-end Video Object Segmentation
https://github.com/josephch405/jit-masker
https://github.com/junbongjang/contour-tracking
https://github.com/kai422/iart
Accelerating Video Object Segmentation with Compressed Video
https://github.com/kaiko-ai/eva
https://github.com/kerenfu/rdvs
Depth-Cooperated Trimodal Network for Video Salient Object Detection
https://github.com/kim-younghan/FEELVOS
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.