295 citations · 1.1k across the 36 of their papers we have counts for
4 papers · 1 filter
Joint Neural Architecture Search and Quantization
Yukang Chen, Gaofeng Meng, Qian Zhang +4
Designing neural architectures is a fundamental step in deep learning applications. As a partner technique, model compression on neural networks has been widely investigated to gea…
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search spa…
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu, Lu Sheng, Jing Shao +3
Multi-label image classification is a fundamental but challenging task towards general visual understanding. Existing methods found the region-level cues (e.g., features from RoIs)…
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Yongcheng Liu, Bin Fan, Lingfeng Wang +3
Semantic labeling for very high resolution (VHR) images in urban areas, is of significant importance in a wide range of remote sensing applications. However, many confusing manmade…