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Action Classification

43 papers with code · Computer Vision
Subtask of Video

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Patternless Adversarial Attacks on Video Recognition Networks

12 Feb 2020roipony/Patternless_Adversarial_Video

Deep neural networks for classification of videos, just like image classification networks, may be subjected to adversarial manipulation.

ACTION CLASSIFICATION IMAGE CLASSIFICATION OPTICAL FLOW ESTIMATION VIDEO RECOGNITION

0
12 Feb 2020

Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification

4 Jan 2020AlexMRuch/Can-x2vec-Save-Lives

Visualizing graph embeddings annotated with predictions of potentially suicidal individuals shows the integrated model could classify such individuals even if they are positioned far from the support group.

ACTION CLASSIFICATION ACTIVITY PREDICTION DOCUMENT EMBEDDING FEATURE ENGINEERING GRAPH EMBEDDING

2
04 Jan 2020

Graph Convolutional Networks for Temporal Action Localization

ICCV 2019 Alvin-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 TEMPORAL ACTION LOCALIZATION

138
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

49
02 Aug 2019

MARS: Motion-Augmented RGB Stream for Action Recognition

CVPR 2019 craston/MARS

Most state-of-the-art methods for action recognition consist of a two-stream architecture with 3D convolutions: an appearance stream for RGB frames and a motion stream for optical flow frames.

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS OPTICAL FLOW ESTIMATION

56
01 Jun 2019

Large Scale Holistic 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 RECOGNITION VIDEO UNDERSTANDING

29
25 Apr 2019

Video Classification with Channel-Separated Convolutional Networks

ICCV 2019 facebookresearch/R2Plus1D

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

700
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

27
04 Feb 2019