arXiv cs.CV
· Papers
CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification
arXiv:2608.11287v1 Announce Type: new Abstract: Long-tailed classification poses a reliability challenge because models trained on imbalanced data are unevenly reliable across frequent and underrepresented classes. While existing methods address imbalance through re-balancing, adjustment, representation learning, or mu