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  "author": "Ryota Hashiguchi",
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  "author": "Ryota Hashiguchi",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Toru Tamaki",
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      "extra_author": "Toru Tamaki",
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Action Recognition",
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      "display_name": "Action Recognition",
            
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      "name": "action-recognition",
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      "name": "action-recognition",
            
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      "title": "Action Recognition"
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      "title": "Action Recognition"
            
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  "metadata_modified": "2024-12-16T17:56:57.704905",
            
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  "name": "temporal-cross-attention-for-action-recognition",
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  "name": "temporal-cross-attention-for-action-recognition",
            
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  "notes": "Feature shifts have been shown to be useful for action 
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  "notes": "Feature shifts have been shown to be useful for action 
            
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recognition with CNN-based models since Temporal Shift Module (TSM) 
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recognition with CNN-based models since Temporal Shift Module (TSM) 
            
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was proposed. It is based on frame-wise feature extraction with late 
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was proposed. It is based on frame-wise feature extraction with late 
            
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fusion, and layer features are shifted along the time direction for 
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fusion, and layer features are shifted along the time direction for 
            
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the temporal interaction.",
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the temporal interaction.",
            
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      "display_name": "Temporal Cross-attention",
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      "display_name": "Temporal Cross-attention",
            
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  "title": "Temporal Cross-attention for Action Recognition",
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