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Zero-Shot Action Recognition

112 papers with code · Computer Vision
Subtask of Zero-Shot Learning

The zero-shot action recognition aims to recognize unseen/novel action categories by exploiting semantics and seen/known actions

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Greatest papers with code

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

CVPR 2018 tensorflow/models

The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video clips, where actions are localized in space and time, resulting in 1. 58M action labels with multiple labels per person occurring frequently.

ACTION LOCALIZATION VIDEO UNDERSTANDING ZERO-SHOT ACTION RECOGNITION

Temporal Segment Networks for Action Recognition in Videos

8 May 2017yjxiong/temporal-segment-networks

Furthermore, based on the temporal segment networks, we won the video classification track at the ActivityNet challenge 2016 among 24 teams, which demonstrates the effectiveness of TSN and the proposed good practices.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

2 Aug 2016yjxiong/temporal-segment-networks

The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network.

ACTION RECOGNITION IN VIDEOS MULTIMODAL ACTIVITY RECOGNITION

Sparse 3D convolutional neural networks

12 May 2015facebookresearch/SparseConvNet

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.

3D OBJECT RECOGNITION ZERO-SHOT ACTION RECOGNITION

A Closer Look at Spatiotemporal Convolutions for Action Recognition

CVPR 2018 facebookresearch/R2Plus1D

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition.

ACTION RECOGNITION IN VIDEOS

Real-time Action Recognition with Enhanced Motion Vector CNNs

CVPR 2016 yjxiong/caffe

The deep two-stream architecture exhibited excellent performance on video based action recognition.

OPTICAL FLOW ESTIMATION ZERO-SHOT ACTION RECOGNITION

Towards Good Practices for Very Deep Two-Stream ConvNets

8 Jul 2015yjxiong/caffe

However, for action recognition in videos, the improvement of deep convolutional networks is not so evident.

ACTION RECOGNITION IN VIDEOS DATA AUGMENTATION

Convolutional Two-Stream Network Fusion for Video Action Recognition

CVPR 2016 feichtenhofer/twostreamfusion

Recent applications of Convolutional Neural Networks (ConvNets) for human action recognition in videos have proposed different solutions for incorporating the appearance and motion information.

ACTION RECOGNITION IN VIDEOS

TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

30 Mar 2017jeffreyhuang1/two-stream-action-recognition

We demonstrate that using both RNNs (using LSTMs) and Temporal-ConvNets on spatiotemporal feature matrices are able to exploit spatiotemporal dynamics to improve the overall performance.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO UNDERSTANDING