2 papers
cs.CV2026
MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification
Jiho Jun, Jeongwon Woo, Jaemin Song +6
The paper introduces MAGE, a framework that uses masked achromatic views and dual-objective knowledge distillation to train a model that classifies gastric adenoma versus carcinoma…
cs.CV2026
Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics
Jaeil Park, Hyobin Choi, Sangjin Lee +2
The GOOSE 2D Fine-Grained Semantic Segmentation Challenge at the ICRA 2026 Workshop on Field Robotics evaluates dense semantic segmentation of off-road imagery over a fine-grained…