Human-Object Video Analysis.pdf

Ji_Detecting_Human-Object_Relationships_ICCV_2021_supplemental.pdf
Preview of Human-Object Video Analysis
🔗 Source: openaccess.thecvf.com
📊 Size: 16.79 MB
📄 Pages: 4 pages
⬇️ Downloads: 130

Summary

The HORT model uses intra- and inter-transformers to detect human-object relationships in videos, with inputs including object, relation, and person features. The model's architecture consists of encoder and decoder layers with multi-head attention, feed-forward networks, and LayerNorms. Qualitative results on Action Genome show the model's ability to detect interacted objects and infer temporal dynamics of human-object relationships, despite some mistakes in object detection and relationship classification. The model outperforms baselines in scene graph generation and HOR detection, with some failure cases attributed to biased co-occurrence of objects, biased relationships, and confused object detection.

Description

The HORT model uses intra- and inter-transformers to detect human-object relationships in videos, with inputs including object, relation, and person features.

Technical Information

  • File Format: PDF
  • File Size: 16.79 MB
  • Pages: 4
  • Language: EN
  • Total Downloads: 130
  • Last Updated: 5 hours ago

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