most citedClosed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

32 citations

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2 papers

cs.CV2020★ 10 cited

FGN: Fully Guided Network for Few-Shot Instance Segmentation

Zhibo Fan, Jin-Gang Yu, Zhihao Liang +4

Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in…

cs.CV2020★ 32 cited

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Yong Guo, Jian Chen, Jingdong Wang +5

Deep neural networks have exhibited promising performance in image super-resolution (SR) by learning a nonlinear mapping function from low-resolution (LR) images to high-resolution…