Activity Detection

61 papers with code • 1 benchmarks • 12 datasets

Detecting activities in extended videos.


Use these libraries to find Activity Detection models and implementations

Most implemented papers

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.

R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

VisionLearningGroup/R-C3D ICCV 2017

We address the problem of activity detection in continuous, untrimmed video streams.

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/rVAD 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. neural building blocks for speaker diarization

pyannote/pyannote-audio 4 Nov 2019

We introduce pyannote. audio, an open-source toolkit written in Python for speaker diarization.

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization

butspeechfit/eend 12 Nov 2022

End-to-end diarization presents an attractive alternative to standard cascaded diarization systems because a single system can handle all aspects of the task at once.

Learning Latent Super-Events to Detect Multiple Activities in Videos

piergiaj/super-events-cvpr18 CVPR 2018

In this paper, we introduce the concept of learning latent super-events from activity videos, and present how it benefits activity detection in continuous videos.

Personal VAD: Speaker-Conditioned Voice Activity Detection

pirxus/personalVAD 12 Aug 2019

In this paper, we propose "personal VAD", a system to detect the voice activity of a target speaker at the frame level.

Harvesting Ambient RF for Presence Detection Through Deep Learning

bigtreeyanger/presence_detection_cnn 13 Feb 2020

With presence detection, how to collect training data with human presence can have a significant impact on the performance.