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cs.CV2024
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
Shuting Zhao, Chenkang Du, Kristin Qi +2
Adaptation methods are developed to adapt depth foundation models to endoscopic depth estimation recently. However, such approaches typically under-perform training since they limi…
cs.CV2024
Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training
Yingfan Ma, Xiaoyuan Luo, Mingzhi Yuan +2
Multiple instance learning (MIL) problem is currently solved from either bag-classification or instance-classification perspective, both of which ignore important information conta…