Object Detection: Algorithms and Prospects
Author:
Affiliation:
1. Busch, Rutgers University,New Jersey,America
2. Melbourne, RMIT University,Victoria,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9973806/9973442/09973854.pdf?arnumber=9973854
Reference11 articles.
1. Review of Deep Learning Algorithms and Architectures
2. A Survey on Deep Learning
3. Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. CornerNet: Detecting Objects as Paired Keypoints
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