Qingbao Huang

Object-Centric Alignment and Anchor Distillation for Weakly Supervised Referring Expression Comprehension

This work proposes OCAAD, an Object-Centric Alignment and Anchor Distillation framework, and introduces two complementary modules that bridges the semantic gap between anchors and objects by transferring object-level knowledge from attention heads to anchors via overlap-aware contrastive learning.