https://github.com/BestJuly/Inter-intra-video-contrastive-learning
공식 코드Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
Papers with Code 아카이브
Self-Supervised Action Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BestJuly/Pretext-Contrastive-Learning
공식 코드Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning
https://github.com/DAVEISHAN/TCLR
공식 코드TCLR: Temporal Contrastive Learning for Video Representation
https://github.com/HobbitLong/CMC
공식 코드https://github.com/HsinYingLee/OPN
공식 코드https://github.com/HumamAlwassel/XDC
공식 코드Self-Supervised Learning by Cross-Modal Audio-Video Clustering
https://github.com/Levigty/CMCS
공식 코드Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
https://github.com/MCG-NJU/VideoMAE
공식 코드VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
https://github.com/MCG-NJU/VideoMAE-Action-Detection
공식 코드VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
https://github.com/OpenGVLab/VideoMAEv2
공식 코드VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
https://github.com/PeihaoChen/RSPNet
공식 코드RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
https://github.com/TengdaHan/CoCLR
공식 코드Self-supervised Co-training for Video Representation Learning
https://github.com/TengdaHan/DPC
공식 코드https://github.com/csiro-robotics/TCE
공식 코드Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
https://github.com/cvlab-columbia/hyperfuture
공식 코드https://github.com/deepmind/brave
공식 코드https://github.com/deepmind/deepmind-research/tree/master/mmv
공식 코드https://github.com/facebookresearch/AVID-CMA
공식 코드Audio-Visual Instance Discrimination with Cross-Modal Agreement
https://github.com/facebookresearch/SlowFast
공식 코드A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
https://github.com/githubofhyl97/skeattnclr
공식 코드Part Aware Contrastive Learning for Self-Supervised Action Recognition
https://github.com/hyeon-jo/PSPNet
공식 코드Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a Video
https://github.com/juliendenize/eztorch
공식 코드Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
https://github.com/laura-wang/video_repres_mas
공식 코드https://github.com/levigty/acl
공식 코드Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
https://github.com/levigty/aimclr
공식 코드https://github.com/martinetoering/ViCC
공식 코드Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
https://github.com/pritamqu/CrissCross
공식 코드Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
https://github.com/pritamqu/XKD
공식 코드XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning
https://github.com/ruiwang2021/mvd
공식 코드https://github.com/rvl-lab-utoronto/video_similarity_search
공식 코드SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
https://github.com/sunilhoho/VideoMS
공식 코드EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
https://github.com/sunilhoho/everest
공식 코드EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
https://github.com/tensorflow/models/tree/master/official/projects/video_ssl
공식 코드https://github.com/xinyusun/mme
공식 코드Masked Motion Encoding for Self-Supervised Video Representation Learning
https://github.com/yujieouo/pstl
공식 코드Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
https://github.com/2023-MindSpore-4/Code-5/tree/main/MVD
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.