most citedDAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

MCA: 2D-3D Retrieval with Noisy Labels via Multi-level Adaptive Correction and Alignment

Gui Zou, Chaofan Gan, Chern Hong Lim +2

With the increasing availability of 2D and 3D data, significant advancements have been made in the field of cross-modal retrieval. Nevertheless, the existence of imperfect annotati…

cs.CV2024★ 2 cited

DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction

Chaofan Gan, Yuanpeng Tu, Yuxi Li +1

With the recent burst of 2D and 3D data, cross-modal retrieval has attracted increasing attention recently. However, manual labeling by non-experts will inevitably introduce corrup…