5 papers
CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification
Si-Yuan Lu, Hanruo Zhu, Ziquan Zhu +6
High resolution medical images contain fine grained, spatially sparse cues that are critical for diagnosis, yet preserving full resolution incurs substantial computational and memo…
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
Ziquan Zhu, Gaojie Jin, Hanruo Zhu +11
Long-tailed image classification remains a long-standing challenge, as real-world data typically follow highly imbalanced distributions where a few head classes dominate and many t…
OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection
Shuaiyu Chen, Ming Yin, Peng Ren +2
Segmenting oil spills from Synthetic Aperture Radar (SAR) imagery remains challenging due to severe appearance variability, scale heterogeneity, and the absence of temporal continu…
Beyond Segmentation: An Oil Spill Change Detection Framework Using Synthetic SAR Imagery
Chenyang Lai, Shuaiyu Chen, Tianjin Huang +4
Marine oil spills are urgent environmental hazards that demand rapid and reliable detection to minimise ecological and economic damage. While Synthetic Aperture Radar (SAR) imagery…
FairMT: Fairness for Heterogeneous Multi-Task Learning
Guanyu Hu, Tangzheng Lian, Na Yan +5
Fairness in machine learning has been extensively studied in single-task settings, while fair multi-task learning (MTL), especially with heterogeneous tasks (classification, detect…