Multi-Feature Fusion Method Based on Salient Object Detection for Beauty Product Retrieval
Author:
Affiliation:
1. Guangdong University of Technology, GuangDong, China
2. South China Agricultural University, GuangDong, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3416272
Reference35 articles.
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2. Salient Object Detection: A Benchmark
3. Mingming Cheng Guoxin Zhang Niloy J Mitra Xiaolei Huang and Shimin Hu. 2011. Global contrast based salient region detection. In computer vision and pattern recognition Vol. 37. 409--416. Mingming Cheng Guoxin Zhang Niloy J Mitra Xiaolei Huang and Shimin Hu. 2011. Global contrast based salient region detection. In computer vision and pattern recognition Vol. 37. 409--416.
4. Wen-Huang Cheng Si Liu Jia Jia Jiaying Liu Jianlong Fu Johnny Tseng Shintami Chusnul Hidayati and Jau Huang. 2020. Perfect Corp. Challenge 2020: Half Million Beauty Product Image Recognition. https://challenge2020.perfectcorp.com/ Wen-Huang Cheng Si Liu Jia Jia Jiaying Liu Jianlong Fu Johnny Tseng Shintami Chusnul Hidayati and Jau Huang. 2020. Perfect Corp. Challenge 2020: Half Million Beauty Product Image Recognition. https://challenge2020.perfectcorp.com/
5. Mengyang Feng Huchuan Lu and Errui Ding. 2019. Attentive Feedback Network for Boundary-Aware Salient Object Detection. In computer vision and pattern recognition. 1623--1632. https://doi.org/10.1109/CVPR.2019.00172 Mengyang Feng Huchuan Lu and Errui Ding. 2019. Attentive Feedback Network for Boundary-Aware Salient Object Detection. In computer vision and pattern recognition. 1623--1632. https://doi.org/10.1109/CVPR.2019.00172
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