2 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu, Zhun Zhong, Yuxi Li +1
Generalized category discovery (GCD) aims at addressing a more realistic and challenging setting of semi-supervised learning, where only part of the category labels are assigned to…
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
Shuguang Dou, Xiangyang Jiang, Yuanpeng Tu +4
The paper introduces the Decouple Re-identificatiOn and human Parsing (DROP) method for occluded person re-identification (ReID). Unlike mainstream approaches using global features…
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
Yuanpeng Tu, Boshen Zhang, Liang Liu +6
Industrial anomaly detection is generally addressed as an unsupervised task that aims at locating defects with only normal training samples. Recently, numerous 2D anomaly detection…