Browse > Computer Vision > Video > Action Classification

Action Classification

38 papers with code · Computer Vision
Subtask of Video

State-of-the-art leaderboards

Latest papers with code

Graph Convolutional Networks for Temporal Action Localization

7 Sep 2019Alvin-Zeng/PGCN

Then we apply the GCNs over the graph to model the relations among different proposals and learn powerful representations for the action classification and localization.

ACTION CLASSIFICATION ACTION LOCALIZATION

21
07 Sep 2019

An Evaluation of Action Recognition Models on EPIC-Kitchens

2 Aug 2019epic-kitchens/action-models

We benchmark contemporary action recognition models (TSN, TRN, and TSM) on the recently introduced EPIC-Kitchens dataset and release pretrained models on GitHub (https://github. com/epic-kitchens/action-models) for others to build upon.

ACTION CLASSIFICATION

29
02 Aug 2019

Holistic Large Scale Video Understanding

25 Apr 2019holistic-video-understanding/Mini-HVU

HVU is organized hierarchically in a semantic taxonomy that focuses on multi-label and multi-task video understanding as a comprehensive problem that encompasses the recognition of multiple semantic aspects in the dynamic scene.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS MULTI-TASK LEARNING VIDEO UNDERSTANDING

19
25 Apr 2019

Video Classification with Channel-Separated Convolutional Networks

4 Apr 2019facebookresearch/VMZ

It is natural to ask: 1) if group convolution can help to alleviate the high computational cost of video classification networks; 2) what factors matter the most in 3D group convolutional networks; and 3) what are good computation/accuracy trade-offs with 3D group convolutional networks.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS IMAGE CLASSIFICATION

557
04 Apr 2019

Activity Driven Weakly Supervised Object Detection

CVPR 2019 zhenheny/ADWSOD

Weakly supervised object detection aims at reducing the amount of supervision required to train detection models.

ACTION CLASSIFICATION WEAKLY SUPERVISED OBJECT DETECTION

3
02 Apr 2019

Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions

4 Feb 2019alexandrosstergiou/Saliency-Tubes-Visual-Explanations-for-Spatio-Temporal-Convolutions

Deep learning approaches have been established as the main methodology for video classification and recognition.

ACTION CLASSIFICATION VIDEO CLASSIFICATION

21
04 Feb 2019

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

NeurIPS 2018 Microsoft/EdgeML

FastRNN addresses these limitations by adding a residual connection that does not constrain the range of the singular values explicitly and has only two extra scalar parameters.

ACTION CLASSIFICATION LANGUAGE MODELLING SPEECH RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

690
08 Jan 2019

Long-Term Feature Banks for Detailed Video Understanding

CVPR 2019 facebookresearch/video-long-term-feature-banks

To understand the world, we humans constantly need to relate the present to the past, and put events in context.

#3 best model for Action Classification on Charades (using extra training data)

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO UNDERSTANDING

165
12 Dec 2018

SlowFast Networks for Video Recognition

10 Dec 2018Guocode/SlowFast-Networks

We present SlowFast networks for video recognition.

#2 best model for Action Classification on Charades (using extra training data)

ACTION CLASSIFICATION ACTION DETECTION VIDEO RECOGNITION

83
10 Dec 2018

Evolving Space-Time Neural Architectures for Videos

26 Nov 2018piergiaj/evanet-iccv19

We present a new method for finding video CNN architectures that capture rich spatio-temporal information in videos.

 SOTA for Action Classification on HMDB51 (using extra training data)

ACTION CLASSIFICATION

17
26 Nov 2018