TGBFormer: Transformer-GraphFormer Video Detection

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"TGBFormer introduces a novel hybrid framework addressing video detection challenges by integrating CNNs, Transformers, and GraphFormers. Its methodology leverages Spatial-Temporal Transformer and GraphFormer Modules alongside a Global-Local Feature Blender for object prediction with real-time capabilities. Key contributions include state-of-the-art results, efficiency analysis, and insights from the ImageNet VID dataset. TGBFormer outperforms existing CNN and Transformer techniques, offering...