Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset
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Updated
Mar 16, 2023 - Jupyter Notebook
Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset
A project on video classification using PyTorch 2.0.
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
Action Recognition Using CNN + Bidirectional RNN
Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
Action Recognition using a two stream CNN architecture with Frames and Optical Flows. Realized using Keras on HMDB51 dataset.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Temporal 3D ConvNet
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
Video Platform for Action Recognition and Object Detection in Pytorch
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
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