Introduces the Dota2-Vis dataset of 288 videos from 144 TI 2025 matches plus 2,477 annotated minimaps and evaluates YOLO11 variants for player-icon detection to produce visibility curves.
Object detection using YOLO: challenges, architectural successors, datasets and applications,
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SAM 3 generates zero-shot pseudo-labels to train YOLOv8 models that reach 79.4% mAP on the PigLife pig dataset with roughly 200x lower inference latency than the teacher model.
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Computer Vision for MOBA Analytics: A Dataset and Baseline for Visibility Analysis in Dota 2
Introduces the Dota2-Vis dataset of 288 videos from 144 TI 2025 matches plus 2,477 annotated minimaps and evaluates YOLO11 variants for player-icon detection to produce visibility curves.
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SAM3-Assisted Training of Lightweight YOLO Models for Precision Pig Farming
SAM 3 generates zero-shot pseudo-labels to train YOLOv8 models that reach 79.4% mAP on the PigLife pig dataset with roughly 200x lower inference latency than the teacher model.