Topic: video-representation-learning Goto Github
Some thing interesting about video-representation-learning
Some thing interesting about video-representation-learning
video-representation-learning,This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning.
Organization: boschresearch
video-representation-learning,Code for the paper Learning the Predictability of the Future (CVPR 2021)
Organization: cvlab-columbia
Home Page: https://hyperfuture.cs.columbia.edu/
video-representation-learning,Chainer implementation of Networks for Learning Video Representations
User: furushchev
video-representation-learning,Implementation of "Generating Videos with Scene Dynamics" in Tensorflow
User: gv1028
video-representation-learning,The official repository for creating casual action effect (CAE) dataset for the IJCNLP-AACL 2023 paper: Implicit Affordance Acquisition via Causal Action–Effect Modeling in the Video Domain
User: mallory24
Home Page: http://www.afnlp.org/conferences/ijcnlp2023/proceedings/main-long/cdrom/pdf/2023.ijcnlp-long.55.pdf
video-representation-learning,The official repository for the IJCNLP-AACL 2023 paper: Implicit Affordance Acquisition via Causal Action–Effect Modeling in the Video Domain
User: mallory24
Home Page: http://www.afnlp.org/conferences/ijcnlp2023/proceedings/main-long/cdrom/pdf/2023.ijcnlp-long.55.pdf
video-representation-learning,[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Organization: mcg-nju
Home Page: https://arxiv.org/abs/2203.12602
video-representation-learning,VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
User: mdnuruzzamankallol
Home Page: https://github.com/mdnuruzzamanKALLOL/VideoMAE_Tensorflow
video-representation-learning,Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]
User: mondalanindya
video-representation-learning,[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)
User: ruiwang2021
video-representation-learning,Official Pytorch implementation of EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens [ICML2024].
User: sunilhoho
Home Page: https://arxiv.org/abs/2211.10636
video-representation-learning,Awesome papers & datasets specifically focused on long-term videos.
User: ttengwang
video-representation-learning,[Asilomar 2022] Contextual Explainable Video Representation: Human Perception-based Understanding
Organization: uark-aicv
Home Page: https://arxiv.org/pdf/2212.06206
video-representation-learning,Official code for CVPR2024 “VideoMAC: Video Masked Autoencoders Meet ConvNets”
User: video-mac
Home Page: https://arxiv.org/abs/2402.19082
video-representation-learning,📚 Paper Notes (Computer vision)
User: xfeif
video-representation-learning,Official repository of the "Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning" (ACM MM 2023)
User: xiaojieli0903
Home Page: https://dl.acm.org/doi/10.1145/3581783.3612131
video-representation-learning,Official repository of the “Mask Again: Masked Knowledge Distillation for Masked Video Modeling” (ACM MM 2023)
User: xiaojieli0903
Home Page: https://dl.acm.org/doi/10.1145/3581783.3612129
video-representation-learning,PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
User: xyzforever
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