38 citations · 73 across the 15 of their papers we have counts for
10 papers · 1 filter
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection
Ziye Chen, Kate Smith-Miles, Bo Du +2
Accurately detecting lane lines in 3D space is crucial for autonomous driving. Existing methods usually first transform image-view features into bird-eye-view (BEV) by aid of inver…
Scalable Mask Annotation for Video Text Spotting
Haibin He, Jing Zhang, Mengyang Xu +3
Video text spotting refers to localizing, recognizing, and tracking textual elements such as captions, logos, license plates, signs, and other forms of text within consecutive vide…
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Di Wang, Bo Du, Liangpei Zhang +1
Recent neural architecture search (NAS) based approaches have made great progress in hyperspectral image (HSI) classification tasks. However, the architectures are usually optimize…
EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection
Meiqi Hu, Chen Wu, Bo Du
Hyperspectral change detection plays an essential role of monitoring the dynamic urban development and detecting precise fine object evolution and alteration. In this paper, we hav…
HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
Chengxi Han, Chen Wu, Bo Du
Very-high-resolution (VHR) remote sensing (RS) image change detection (CD) has been a challenging task for its very rich spatial information and sample imbalance problem. In this p…
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru, Heliang Zheng, Yibing Zhan +1
Weakly-Supervised Semantic Segmentation (WSSS) using image-level labels typically utilizes Class Activation Map (CAM) to generate the pseudo labels. Limited by the local structure…