Context-Aware and Semantic-Consistent Spatial Interactions for One-Shot Object Detection Without Fine-Tuning
Author:
Affiliation:
1. College of Control Science and Engineering, Zhejiang University, Hangzhou, China
2. Alibaba Cloud, Hangzhou, China
3. School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/76/10582818/10379026.pdf?arnumber=10379026
Reference118 articles.
1. CrossDet++: Growing Crossline Representation for Object Detection
2. Exploring Dense Context for Salient Object Detection
3. Deep Texture-Aware Features for Camouflaged Object Detection
4. Bridging Multi-Scale Context-Aware Representation for Object Detection
5. Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution
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