619 citations · 1.3k across the 33 of their papers we have counts for
6 papers · 1 filter
Efficient Differentiable Neural Architecture Search with Meta Kernels
Shoufa Chen, Yunpeng Chen, Shuicheng Yan +1
The searching procedure of neural architecture search (NAS) is notoriously time consuming and cost prohibitive.To make the search space continuous, most existing gradient-based NAS…
AdversarialNAS: Adversarial Neural Architecture Search for GANs
Chen Gao, Yunpeng Chen, Si Liu +2
Neural Architecture Search (NAS) that aims to automate the procedure of architecture design has achieved promising results in many computer vision fields. In this paper, we propose…
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
Bing Xu, Andrew Tulloch, Yunpeng Chen +2
We propose a new building block, IdleBlock, which naturally prunes connections within the block. To fully utilize the IdleBlock we break the tradition of monotonic design in state-…
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen, Haoqi Fan, Bing Xu +5
In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with gl…
Dynamic Feature Fusion for Semantic Edge Detection
Yuan Hu, Yunpeng Chen, Xiang Li +1
Features from multiple scales can greatly benefit the semantic edge detection task if they are well fused. However, the prevalent semantic edge detection methods apply a fixed weig…
Deep Reasoning with Multi-Scale Context for Salient Object Detection
Zun Li, Congyan Lang, Yunpeng Chen +2
To detect salient objects accurately, existing methods usually design complex backbone network architectures to learn and fuse powerful features. However, the saliency inference mo…