Action Detection

149 papers with code • 5 benchmarks • 26 datasets

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Most implemented papers

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

wzmsltw/BSN-boundary-sensitive-network.pytorch ECCV 2018

Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analysing real-world videos with long duration and high proportion irrelevant content.

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

PaddlePaddle/models ICCV 2019

To address these difficulties, we introduce the Boundary-Matching (BM) mechanism to evaluate confidence scores of densely distributed proposals, which denote a proposal as a matching pair of starting and ending boundaries and combine all densely distributed BM pairs into the BM confidence map.

Rescaling Egocentric Vision

epic-kitchens/epic-kitchens-100-annotations 23 Jun 2020

This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS.

Temporal Action Detection with Structured Segment Networks

open-mmlab/mmaction ICCV 2017

Detecting actions in untrimmed videos is an important yet challenging task.

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video

JunweiLiang/Multiverse 20 Nov 2020

With the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, socially-aware robot assistant and public safety monitoring.

Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

imatge-upc/activitynet-2016-cvprw 29 Aug 2016

This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation to achieve it has been proposed.

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

mindorii/kws 28 Nov 2016

We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection.

Fine-grained Activity Recognition in Baseball Videos

piergiaj/mlb-youtube 9 Apr 2018

In this paper, we introduce a challenging new dataset, MLB-YouTube, designed for fine-grained activity detection.

rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method

zhenghuatan/rvadfast 9 Jun 2019

In the end, a posteriori SNR weighted energy difference is applied to the extended pitch segments of the denoised speech signal for detecting voice activity.