hmdb51
There are 19 repositories under hmdb51 topic.
MichiganCOG/ViP
Video Platform for Action Recognition and Object Detection in Pytorch
kevin-ssy/Optical-Flow-Guided-Feature
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
bryanyzhu/Hidden-Two-Stream
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
csiro-robotics/TCE
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
sjenni/temporal-ssl
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
vra/action-recognition-using-3d-resnet
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
pritamqu/CrissCross
[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
mondalanindya/MSQNet
Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]
milkcat0904/video-dataset-to-optical-flow
由视频数据集生成optical flow,frames,warped flow
wgcban/apt
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
giocoal/hmdb51-two-stream-action-recognition
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
pritamqu/XKD
[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
ahkarami/T3D
Temporal 3D ConvNet
titania7777/VideoFrameSampler
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
gianscuri/Action_Recognition_Two_Stream_HMDB51
Action Recognition using a two stream CNN architecture with Frames and Optical Flows. Realized using Keras on HMDB51 dataset.
JohnPPinto/HMDB51_human_motion_recognition_pytorch
A project on video classification using PyTorch 2.0.
LoreImbo/hmdb51-video-classification
Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset
malswadi/skeleton-ucf-hmdb
This is the project repository for the research study "Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recognition" presented by Motasem S. Alsawadi and Miguel Rio.
reshalfahsi/action-recognition
Action Recognition Using CNN + Bidirectional RNN