Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification 事件

Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification arXiv:2601.08446v2 Announce Type: replace Abstract: The development of reliable methods for multi-label classification (MLC) has become a prominent research direction in remote sensing (RS). As the scale of RS data continues to expand, annotation procedures increasingly rely on thematic products or crowdsourced procedures to reduce the cost of manual annotation. While cost-effective, these strategies often