Deep Learning for Image Retrieval: What Works and What Doesn't-Reference-Cited by-同舟云学术

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Deep Learning for Image Retrieval: What Works and What Doesn't

Published:2015-11 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Data Mining Workshop (ICDMW)
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Author:

Wang Huafeng,Cai Yehe,Zhang Yanxiang,Pan Haixia,Lv Weifeng,Han Hao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7395499/7395635/07395863.pdf?arnumber=7395863

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved YOLOv7 Based Fast Image Retrieval;2024 2nd International Conference on Intelligent Perception and Computer Vision (CIPCV);2024-05-17

2. Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System;IEEE Access;2024

3. CLASSIFICATION OF BRAIN TUMORS ON MRI IMAGES USING DEEP LEARNING ARCHITECTURES;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2023-12-12

4. Understanding and predicting cross-cultural food preferences with online recipe images;Information Processing & Management;2023-09

5. Effective and Scalable Manifold Ranking-Based Image Retrieval with Output Bound;ACM Transactions on Knowledge Discovery from Data;2023-04-07

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