Yong Guo
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Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
Towards Lightweight Super-Resolution with Dual Regression Learning
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Content-Aware Convolutional Neural Networks
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Multi-way Backpropagation for Training Compact Deep Neural Networks
Double Forward Propagation for Memorized Batch Normalization
Hierarchical Neural Architecture Search for Single Image Super-Resolution
Conditional Automated Channel Pruning for Deep Neural Networks
Online Feature Selection of Class Imbalance via PA Algorithm
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