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
Latest papers with no code
Whispy: Adapting STT Whisper Models to Real-Time Environments
We evaluate the performance of our system on a large repository of publicly available speech datasets, investigating how the transcription mechanism introduced by Whispy impacts on the Whisper output.
Activity Detection for Massive Random Access using Covariance-based Matching Pursuit
The Internet of Things paradigm heavily relies on a network of a massive number of machine-type devices (MTDs) that monitor changes in various phenomena.
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
This paper proposes a deep learning-based system for detecting fishing activities.
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation
In the field of fraud detection, the availability of comprehensive and privacy-compliant datasets is crucial for advancing machine learning research and developing effective anti-fraud systems.
Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection
The integration of Light Detection and Ranging (LiDAR) and Internet of Things (IoT) technologies offers transformative opportunities for public health informatics in urban safety and pedestrian well-being.
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
The third framework is designed to accommodate the non-coherent scheme involving a small number of data bits, which simultaneously performs AD and DD.
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications
Past studies on end-to-end meeting transcription have focused on model architecture and have mostly been evaluated on simulated meeting data.
sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks
Spiking Neural Networks (SNNs) are known to be biologically plausible and power-efficient.
Fast Low-parameter Video Activity Localization in Collaborative Learning Environments
Research on video activity detection has primarily focused on identifying well-defined human activities in short video segments.
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach
Grant-free random access (RA) has been recognized as a promising solution to support massive connectivity due to the removal of the uplink grant request procedures.
