Hi-GaTA is a hierarchical gated temporal aggregation adapter that uses short-to-long temporal pyramids and gated fusion to enable surgical video report generation, backed by a new 214-video benchmark and a surgical ViViT pretrained on 40,000 minutes of video.
IEEE transactions on medical imaging36(1), 86–97 (2016)
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DenseTRF adapts texture-aware representations via slot attention for unsupervised improvement of cross-domain generalization in surgical dense prediction tasks.
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Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation
Hi-GaTA is a hierarchical gated temporal aggregation adapter that uses short-to-long temporal pyramids and gated fusion to enable surgical video report generation, backed by a new 214-video benchmark and a surgical ViViT pretrained on 40,000 minutes of video.
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DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction
DenseTRF adapts texture-aware representations via slot attention for unsupervised improvement of cross-domain generalization in surgical dense prediction tasks.