Activity Detection
63 papers with code • 1 benchmarks • 12 datasets
Detecting activities in extended videos.
Benchmarks
These leaderboards are used to track progress in Activity Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Activity Detection models and implementationsDatasets
AVA
Toyota Smarthome Dataset
ROAD
TSU
Home Action Genome
MLB-YouTube Dataset
Most implemented papers
Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
imatge-upc/activitynet-2016-cvprw
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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
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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
We address the problem of activity detection in continuous, untrimmed video streams.
Fine-grained Activity Recognition in Baseball Videos
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
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.
pyannote.audio: neural building blocks for speaker diarization
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
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
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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
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
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With presence detection, how to collect training data with human presence can have a significant impact on the performance.
