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cs.CV2026
LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging
Xinyu Wang, Ke Deng, Fei Dou +2
Model merging aims to combine multiple fine-tuned models into a single multi-task model without access to training data. Existing task-vector merging methods such as TIES, TSV-M, a…
cs.CV2024★ 2 cited
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference
Binghao Lu, Caiwen Ding, Jinbo Bi +1
Change detection, which aims to detect spatial changes from a pair of multi-temporal images due to natural or man-made causes, has been widely applied in remote sensing, disaster m…