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Jeonghoon Kim

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Open access Jul 2026

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

Noise-mined Adaptive Self-Labeling (NASL), which effectively manages noisy data during training and improves the separation between clean and noisy data while effectively mitigating noise, leading to significant performance improvements on the MSR-VTT, DiDeMo, MSVD, LSMDC, and ActivityNet datasets.

Jeonghoon Kim, Hyeon Kang, Jihun Park et al. · 0 citations

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