330 citations · 729 across the 10 of their papers we have counts for
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Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification
Yuxiang Zhang, Mengmeng Zhang, Wei Li +2
Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image classification (HSI) tasks. It is necessary to explore the eff…
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
Yuxiang Zhang, Wei Li, Weidong Sun +2
Currently, cross-scene hyperspectral image (HSI) classification has drawn increasing attention. It is necessary to train a model only on source domain (SD) and directly transferrin…
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
Xingrun Xing, Yangguang Li, Wei Li +6
Existing Binary Neural Networks (BNNs) mainly operate on local convolutions with binarization function. However, such simple bit operations lack the ability of modeling contextual…
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
Zhanchao Huang, Wei Li, Xiang-Gen Xia +2
Arbitrary-oriented object detection (AOOD) has been widely applied to locate and classify objects with diverse orientations in remote sensing images. However, the inconsistent feat…
MPANet: Multi-Patch Attention For Infrared Small Target object Detection
Ao Wang, Wei Li, Xin Wu +2
Infrared small target detection (ISTD) has attracted widespread attention and been applied in various fields. Due to the small size of infrared targets and the noise interference f…
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation
Na Liu, Wei Li, Yinjian Wang +3
The ability of capturing fine spectral discriminative information enables hyperspectral images (HSIs) to observe, detect and identify objects with subtle spectral discrepancy. Howe…
Open-Vocabulary DETR with Conditional Matching
Yuhang Zang, Wei Li, Kaiyang Zhou +2
Open-vocabulary object detection, which is concerned with the problem of detecting novel objects guided by natural language, has gained increasing attention from the community. Ide…