10 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
A Dual Attentive Generative Adversarial Network for Remote Sensing Image Change Detection
Luyi Qiu, Xiaofeng Zhang, ChaoChen Gu +1
Remote sensing change detection between bi-temporal images receives growing concentration from researchers. However, comparing two bi-temporal images for detecting changes is chall…
Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
Qihan Zhao, Xiaofeng Zhang, Hao Tang +2
Image restoration is a low-level visual task, and most CNN methods are designed as black boxes, lacking transparency and intrinsic aesthetics. Many unsupervised approaches ignore t…
SAM-helps-Shadow:When Segment Anything Model meet shadow removal
Xiaofeng Zhang, Chaochen Gu, Shanying Zhu
The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-sho…
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification
Yudi Zhao, Kuangrong Hao, Chaochen Gu +1
To address the trade-off problem of quality-diversity for the generated images in imbalanced classification tasks, we research on over-sampling based methods at the feature level i…