Embarrassingly Simple Model for Early Action Proposal

10/17/2018
by   Marcos Baptista-Ríos, et al.
0

Early action proposal consists in generating high quality candidate temporal segments that are likely to contain an action in a video stream, as soon as they happen. Many sophisticated approaches have been proposed for the action proposal problem but from the off-line perspective. On the contrary, we focus on the on-line version of the problem, proposing a simple classifier-based model, using standard 3D CNNs, that performs significantly better than the state of the art.

READ FULL TEXT

page 1

page 2

page 3

research
07/21/2017

Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017

In this notebook paper, we describe our approach in the submission to th...
research
01/09/2016

Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

We address temporal action localization in untrimmed long videos. This i...
research
10/03/2019

Learning Temporal Action Proposals With Fewer Labels

Temporal action proposals are a common module in action detection pipeli...
research
09/07/2019

Graph Convolutional Networks for Temporal Action Localization

Most state-of-the-art action localization systems process each action pr...
research
06/15/2019

Improving temporal action proposal generation by using high performance computing

Temporal action proposal generation is an important and challenging prob...
research
04/28/2022

Temporal Progressive Attention for Early Action Prediction

Early action prediction deals with inferring the ongoing action from par...
research
02/15/2021

RMS-Net: Regression and Masking for Soccer Event Spotting

The recently proposed action spotting task consists in finding the exact...

Please sign up or login with your details

Forgot password? Click here to reset