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video-dataset

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SPHAR-Dataset

Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

  • Updated Sep 28, 2020
  • Python

This repository contains the implementation of Enhanced Random Binary Multilevel Attention Network (ERBMA-Net), a novel framework for facial depression recognition. ERBMA-Net addresses key limitations in existing methods by introducing random binary convolutional filters for enhanced adaptability and multilevel attention mechanisms.

  • Updated Feb 6, 2025
  • Python

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