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Department of Electrical and Computer Engineering, Tamkang University, Taiwan
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YOLO-AMC achieves an unprecedented mAP of 0.9917 for crack detection, setting a new benchmark in the field.
Forget retraining LLMs from scratch for new architectures: PromptEmbedder lets you adapt to new backbones by only retraining a lightweight linear alignment matrix, slashing memory by 40% and speeding up training by 3.7x.
