【图像检索】CBIR资料汇总
参考资料：
Overview:
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
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
Sparse Coding:
Competition:
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原始发表：2018.01.25 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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