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Achieve autonomous laparoscope control by translating multimodal surgical data into a single "wrench" that guides the robot's movements.
By combining CNNs and State Space Models, DA-Mamba achieves efficient global-local feature alignment for domain adaptive object detection, outperforming prior CNN-only and Transformer-based approaches.
LoRA's feature learning isn't as stable as we thought, but a simple weight-shrinkage trick can fix it, boosting performance without extra memory.
