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06/11/2022
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting
The lightweight crowd counting models, in particular knowledge distillat...
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04/29/2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Single image denoising (SID) has achieved significant breakthroughs with...
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11/30/2021
Contrastive Learning for Local and Global Learning MRI Reconstruction
Magnetic Resonance Imaging (MRI) is an important medical imaging modalit...
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08/20/2021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Single image deraining is important for many high-level computer vision ...
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06/02/2021
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Under stereo settings, the problem of image super-resolution (SR) and di...
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02/24/2021
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Single image dehazing is a challenging ill-posed problem that has drawn ...
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01/05/2021
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Crowd counting is an important task that shown great application value i...
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06/24/2020