Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
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Updated
Dec 20, 2017 - C++
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Temporal 3D ConvNet
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
Video Platform for Action Recognition and Object Detection in Pytorch
Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset
A project on video classification using PyTorch 2
Action Recognition using a two stream CNN architecture with Frames and Optical Flows. Realized using Keras on HMDB51 dataset.
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]
Action Recognition Using CNN + Bidirectional RNN
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
Code for paper "Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices"
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