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3D-CNN for Action Recognition(UCF-101 dataset)
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
Action recognition using focus/saliency/attention
dangerous action recognition of pedestrians
Action recognition using soft attention based deep recurrent neural networks
Action recognition with attention model
code for Two-Stream SR-CNNs for Action Recognition in Videos 2016
TensorFlow Implementation of "Action Recognition using Visual Attention"
Explore Action Recognition
I3D模型的搭建与测试
Multilevel model for activity recognition in basketball using Optical Flow, LSTM and CNN
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Activity Recognition Model Based On PyTorch
This repository shows the use of Multi-Stream Convolutional Neural Networks for the actions recognition, exploring the benefits of using visual rhythms.
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
Video summarization project computing the video's histogram per frame and applying K-means for finding relevant frames for the summarization process
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Action localization Proposals from dense Trajectories
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
Deep Recurrent Attention Reinforcement Learning in Atari
Attention,Factorization Machine, Deep Learning, Recommender System
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018
A curated list of action recognition and related area resources
Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features
A CNN with an attentional module that I built while attending the brains minds and machines summer course
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.