https://github.com/garfield-kh/posetriplet
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
Papers with Code 아카이브
Video Recognition
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Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/garythung/torch-lrcn
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
https://github.com/haofanwang/video-swin-transformer-pytorch
https://github.com/happywu/Sequence-Level-Semantics-Aggregation
Sequence Level Semantics Aggregation for Video Object Detection
https://github.com/huggingface/pytorch-image-models
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
https://github.com/iacolippo/octconv-pytorch
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/iduta/pyconvsegnet
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
https://github.com/innat/Video-FocalNets
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition
https://github.com/innat/VideoSwin
https://github.com/jihun-kr/SlowFast
https://github.com/jinfagang/nb
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/junweiliang/multitrain
https://github.com/kahnchana/RNN
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
https://github.com/kaleab-k/VideoAT
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
https://github.com/keras-team/keras-io/blob/master/examples/vision/token_learner.py
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
https://github.com/kk1694/octaveconv-pytorch
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/kkahatapitiya/X3D-Multigrid
X3D: Expanding Architectures for Efficient Video Recognition
https://github.com/koshian2/OctConv-TFKeras
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/l5shi/OCTAVE-CONVOLUTION
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/labmlai/annotated_deep_learning_paper_implementations
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/lamia482/octconv-pytorch
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/hiera
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
https://github.com/lessw2020/auto-adaptive-ai
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/lxtGH/OctaveConv_pytorch
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/machine-perception-robotics-group/ST-ABN_PyTorch
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition
https://github.com/markliou/OctConv
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/marload/ImprovedResNet-TensorFlow2
https://github.com/matsuren/OctaveConv.pytorch
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/mindspore-ai/models/tree/master/research/cv/resnet3d
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
https://github.com/mindspore-ai/models/tree/master/research/cv/tsm
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/niveditarahurkar/CS231N-ActionRecognition
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/open-mmlab/mmaction2
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/open-mmlab/mmclassification
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
https://github.com/open-mmlab/mmtracking
https://github.com/osmr/imgclsmob
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
https://github.com/pwc-1/Paper-9/tree/main/4/token_learner
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.