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cs.CV2024
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization
Maxime Fontana, Michael Spratling, Miaojing Shi
Multi-Task Learning (MTL) involves the concurrent training of multiple tasks, offering notable advantages for dense prediction tasks in computer vision. MTL not only reduces traini…
cs.CV2024★ 1 cited
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
Chaoqin Huang, Haoyan Guan, Aofan Jiang +4
Most existing anomaly detection (AD) methods require a dedicated model for each category. Such a paradigm, despite its promising results, is computationally expensive and inefficie…