VISTA combines EndoFM-LV and DINOv3 with Diverse Head Ensemble, Validation-Guided Weighted Fusion, and Anatomy-Aware Temporal Event Decoding to reach 0.3726 mAP@0.5 on hidden test for rare-pathology VCE event detection after post-competition threshold refinement.
Improving foundation model for endoscopy video analysis via representation learning on long sequences.IEEE Journal of Biomedical and Health Informatics, 2025
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VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection -- after competition results
VISTA combines EndoFM-LV and DINOv3 with Diverse Head Ensemble, Validation-Guided Weighted Fusion, and Anatomy-Aware Temporal Event Decoding to reach 0.3726 mAP@0.5 on hidden test for rare-pathology VCE event detection after post-competition threshold refinement.