23 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2021
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang, Yang Gao, Hao Chen +4
Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures. What is notew…
cs.CV2021★ 8 cited
CAT: Cross-Attention Transformer for One-Shot Object Detection
Weidong Lin, Yuyan Deng, Yang Gao +5
Given a query patch from a novel class, one-shot object detection aims to detect all instances of that class in a target image through the semantic similarity comparison. However,…
cs.CV2019★ 23 cited
NAS-FCOS: Fast Neural Architecture Search for Object Detection
Ning Wang, Yang Gao, Hao Chen +4
The success of deep neural networks relies on significant architecture engineering. Recently neural architecture search (NAS) has emerged as a promise to greatly reduce manual effo…