Hyeon Kang

Mitigating Noisy Correspondence in Video-Text Retrieval via Noise-mined Adaptive Self-Labeling

In video-text retrieval, addressing the noisy correspondence problem is crucial for achieving accurate retrieval performance. Recent methods address this challenge by either suppressing the impact of noisy data or predictions distorted by noise. However, existing approaches often overlook two critical aspects: distingu...