Hi-GaTA is a gated temporal pyramid adapter that aggregates multi-scale video features via text-conditioned cross-attention and gated fusion to enable LLM-based surgical report generation, backed by a new 214-video benchmark and Sur40k pretrained encoder.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation
Hi-GaTA is a gated temporal pyramid adapter that aggregates multi-scale video features via text-conditioned cross-attention and gated fusion to enable LLM-based surgical report generation, backed by a new 214-video benchmark and Sur40k pretrained encoder.