【图像检索】CBIR资料汇总

参考资料：

Overview:

• Guide-CBIR
• CBIR_LeaderBoard
• https://github.com/willard-yuan/willard-yuan.github.io/tree/master/_posts

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Code:

• ReferenceCode: cnn-cbir-benchmark
• ReferenceCode: image-retrieval
• ReferenceCode: practical-cbir-handbook
• ReferenceCode: Learn-to-identify-similar-images
• ReferenceCode: CNN-for-Image-Retrieval
• ReferenceCode: hashing-baseline-for-image-retrieval
• ReferenceCode: sift-match-with-ransac
• ReferenceCode: py-cbir-image-search-engine
• 用Simese网络判断两张图的相似度

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Papers:

• Paper: SIFT Meets CNN: A Decade Survey of Instance Retrieval
• 简要介绍CBIR系统流程
• Deep Image Retrieval: Learning global representations for image search（很有意思，包括了目标检测和检索）
• 基于多层 CNN 特征的图像检索技术
• Paper: awesome-cbir-papers
• Paper: Three things everyone should know to improve object retrieval
• Paper: Fine-tuning CNN Image Retrieval with No Human Annotation
• Paper: End-to-end Learning of Deep Visual Representations for Image Retrieval
• https://arxiv.org/find/cs/1/au:+Gordo_A/0/1/0/all/0/1
• Collaborative Index Embedding for Image Retrieval

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Sparse Coding:

• 总结SPM，ScSPM，LLC
• 稀疏编码及其改进（ScSPM，LLC，super-vector coding）

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Competition:

• Google Landmark Retrieval Challenge: CVPR2018