4 papers
Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels
Jiangnan Li, Linqing Huang, Xiaowen Yan +3
Zero-shot learning (ZSL) aims to recognize unseen classes without visual instances. However, existing methods usually assume clean labels, overlooking real-world label noise and am…
Isospin-symmetry violation -- kaons and beyond (ISO-BREAK 25: summary and outlook)
Marek Gazdzicki, Francesco Giacosa, Katarzyna Grebieszkow +40
This report summarizes the presentations and discussions during the ISO-BREAK 25 Workshop ``Isospin symmetry violation: kaons and beyond'', which was held at Jan Kochanowski Univer…
CLIP-driven Zero-shot Learning with Ambiguous Labels
Jinfu Fan, Jiangnan Li, Xiaowen Yan +3
Zero-shot learning (ZSL) aims to recognize unseen classes by leveraging semantic information from seen classes, but most existing methods assume accurate class labels for training…
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
Haodong Zhao, Peng Peng, Chiyu Chen +2
Remote sensing (RS) images are usually produced at an unprecedented scale, yet they are geographically and institutionally distributed, making centralized model training challengin…