330 citations · 729 across the 10 of their papers we have counts for
10 papers
Siamese DETR
Zeren Chen, Gengshi Huang, Wei Li +5
Recent self-supervised methods are mainly designed for representation learning with the base model, e.g., ResNets or ViTs. They cannot be easily transferred to DETR, with task-spec…
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Wei Li, Jiahao Xie, Chen Change Loy
We introduce Correlational Image Modeling (CIM), a novel and surprisingly effective approach to self-supervised visual pre-training. Our CIM performs a simple pretext task: we rand…
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…
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
Quan Wang, Ignacio Lopez Moreno, Mert Saglam +8
We introduce VoiceFilter-Lite, a single-channel source separation model that runs on the device to preserve only the speech signals from a target user, as part of a streaming speec…