Camouflage people detection via strong semantic dilation network
Author:
Affiliation:
1. PLA Army Engineering University, Nanjing, Jiangsu, China
2. PLA Army Engineering University, Nanjing Jiangsu China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3321408.3326662
Reference18 articles.
1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
3. Convexity-Based Visual Camouflage Breaking
4. Camouflage Defect Identification: A Novel Approach
5. Performance of Decamouflaging Through Exploratory Image Analysis
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