322 citations · 1k across the 47 of their papers we have counts for
7 papers · 1 filter
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
Shujun Yang, Yu Zhang, Yao Ding +1
Insufficient prior knowledge of a captured hyperspectral image (HSI) scene may lead the experts or the automatic labeling systems to offer incorrect labels or ambiguous labels (i.e…
SSPFusion: A Semantic Structure-Preserving Approach for Infrared and Visible Image Fusion
Qiao Yang, Yu Zhang, Yutong Chen +2
Most existing learning-based multi-modality image fusion (MMIF) methods suffer from significant structure inconsistency due to their inappropriate usage of structural features at t…
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
Haiwen Diao, Bo Wan, Ying Zhang +3
Parameter-efficient transfer learning (PETL), i.e., fine-tuning a small portion of parameters, is an effective strategy for adapting pre-trained models to downstream domains. To fu…
Plug-and-Play Regulators for Image-Text Matching
Haiwen Diao, Ying Zhang, Wei Liu +2
Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching. Generally, recent approaches first employ a cross-modal atte…
Semi-supervised segmentation of tooth from 3D Scanned Dental Arches
Ammar Alsheghri, Farnoosh Ghadiri, Ying Zhang +4
Teeth segmentation is an important topic in dental restorations that is essential for crown generation, diagnosis, and treatment planning. In the dental field, the variability of i…
Multi-scale Attentive Image De-raining Networks via Neural Architecture Search
Lei Cai, Yuli Fu, Wanliang Huo +5
Multi-scale architectures and attention modules have shown effectiveness in many deep learning-based image de-raining methods. However, manually designing and integrating these two…