Deep Learning

Transformer based Collision Detection Approach by Torque Estimation using Joint Information
The paper introduces A2XP, a novel approach for domain generalization, which optimizes prompts for each source domain and combines them for robust performance across domains, while also preserving privacy and integrity of the network architecture. Experimental results demonstrate its state-of-the-art performance in computer vision tasks and its potential for broader applications.
Jiwon Park, Daegyu Lim, Sumin Park, Hyeonjun Park
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Transformer based Collision Detection Approach by Torque Estimation using Joint Information