4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
CLDA-YOLO: Visual Contrastive Learning Based Domain Adaptive YOLO Detector
Tianheng Qiu, Ka Lung Law, Guanghua Pan +4
Unsupervised domain adaptive (UDA) algorithms can markedly enhance the performance of object detectors under conditions of domain shifts, thereby reducing the necessity for extensi…
cs.CV2024★ 4 cited
DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation
Zilu Guo, Liuyang Bian, Xuan Huang +3
Atrous convolutions are employed as a method to increase the receptive field in semantic segmentation tasks. However, in previous works of semantic segmentation, it was rarely empl…
cs.CV2024★ 2 cited
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
Xin Gao, Tianheng Qiu, Xinyu Zhang +6
Coarse-to-fine schemes are widely used in traditional single-image motion deblur; however, in the context of deep learning, existing multi-scale algorithms not only require the use…