arxivcs.LGcs.CV2026-07-20
Robust Multi-View Classification under Noisy Supervision via Global Anchor Consensus
Yuliang Yang, Hongzhe Zhang, Huiru Wang
In recent years, multi-view learning has attracted increasing attention, as it integrates the complementary information of heterogeneous views. Most existing multi-view classification methods rely on accurate annotations to guarantee performance. However, noisy labels are ubiquit…