Yu-Chao Gu — accepted AI-conference papers

2021

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search

Yu-Chao Gu, Li-Juan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu +1

CVPR 2021poster

Differentiable Architecture Search (DARTS) has attracted extensive attention due to its efficiency in searching for cell structures. DARTS mainly focuses on the operation search and derives the cell topology from the operation weights. However, the operation weights can not indicate the importance o…

Cited by 72 PDF ↗code ↗Scholar ↗

2021

iNAS: Integral NAS for Device-Aware Salient Object Detection

Yu-Chao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng

ICCV 2021poster

Existing salient object detection (SOD) models usually focus on either backbone feature extractors or saliency heads, ignoring their relations. A powerful backbone could still achieve sub-optimal performance with a weak saliency head and vice versa. Moreover, the balance between model performance an…

Cited by 13 PDF ↗Scholar ↗