Action Detection

229 papers with code • 11 benchmarks • 33 datasets

Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.

Libraries

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Latest papers with no code

Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication

no code yet • 12 Mar 2024

The third framework is designed to accommodate the non-coherent scheme involving a small number of data bits, which simultaneously performs AD and DD.

Detection of Object Throwing Behavior in Surveillance Videos

no code yet • 11 Mar 2024

Second, we compare the performance of different feature extractors for our anomaly detection method on the UCF-Crime and Throwing-Action datasets.

Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications

no code yet • 11 Mar 2024

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

no code yet • 9 Mar 2024

Spiking Neural Networks (SNNs) are known to be biologically plausible and power-efficient.

High-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition

no code yet • 4 Mar 2024

The accuracy of the proposed SNN is 83. 85% and 93. 52% on the two datasets respectively.

Fast Low-parameter Video Activity Localization in Collaborative Learning Environments

no code yet • 2 Mar 2024

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

no code yet • 28 Feb 2024

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.

Channel-Combination Algorithms for Robust Distant Voice Activity and Overlapped Speech Detection

no code yet • 13 Feb 2024

A channel-number invariant loss is proposed to learn a unique feature representation regardless of the number of available microphones.

Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO

no code yet • 7 Feb 2024

Different from traditional compressed sensing (CS) methods that only use the sparsity of user activities, we develop several Approximate Message Passing (AMP) based CS algorithms by exploiting the sparsity of user activities and mmWave channels.

A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model

no code yet • 5 Feb 2024

Criminal and suspicious activity detection has become a popular research topic in recent years.