3 citations · 4 across the 4 of their papers we have counts for
4 papers
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency
Miao Zhang, Yiqing Shen, Shenghui Zhong
Images captured under low-light conditions are often plagued by several challenges, including diminished contrast, increased noise, loss of fine details, and unnatural color reprod…
Segmenting across places: The need for fair transfer learning with satellite imagery
Miao Zhang, Harvineet Singh, Lazarus Chok +1
The increasing availability of high-resolution satellite imagery has enabled the use of machine learning to support land-cover measurement and inform policy-making. However, labell…
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
Yongri Piao, Jian Wang, Miao Zhang +1
Weakly supervised salient object detection (WSOD) targets to train a CNNs-based saliency network using only low-cost annotations. Existing WSOD methods take various techniques to p…
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection
Yongri Piao, Jian Wang, Miao Zhang +2
Weakly-supervised salient object detection (WSOD) aims to develop saliency models using image-level annotations. Despite of the success of previous works, explorations on an effect…