3 papers
cs.LG2026
Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
Yu Chen, Weijun Lv, Yue Huang +4
In partial multi-label learning (PML), each instance is associated with a set of candidate labels containing both ground-truth and noisy labels. The presence of noisy labels disrup…
cs.CV2026
Prompt Tuning for CLIP on the Pretrained Manifold
Xi Yang, Yuanrong Xu, Weigang Zhang +3
Prompt tuning introduces learnable prompt vectors that adapt pretrained vision-language models to downstream tasks in a parameter-efficient manner. However, under limited supervisi…
cs.CV2025
PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models
Xianjing Cheng, Lintai Wu, Zuowen Wang +3
Accurate 3D scene understanding in outdoor environments heavily relies on high-quality point clouds. However, LiDAR-scanned data often suffer from extreme sparsity, severely hinder…