哈希学习
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CVPR14 图像检索papers——图像检索
1. Triangulation embedding and democratic aggregation for imagesearch (Orals)
2. Collaborative Hashing (post)
3. Packing and Padding: Coupled Multi-index for Accurate ImageRetrieval (post) technical report
4. Bayes Merging of Multiple Vocabularies for Scalable ImageRetrieval (post) technical report
5. Fast Supervised Hashing with Decision Trees for High-DimensionalData (post)
6. Learning Fine-grained Image Similarity with Deep Ranking (post)
7. Congruency-Based Reranking (post)可能
8. Fisher and VLAD with FLAIR (post)可能
9. Locality in Generic Instance Search from One Example (post)
10. Asymmetric sparse kernelapproximations for large-scale visual search (post)
11. Locally Linear Hashing forExtracting Non-Linear Manifolds (post)
12. Adaptive Object Retrievalwith Kernel Reconstructive Hashing (post)
13. Hierarchical Feature Hashingfor Fast Dimensionality Reduction (post)
CVPR15image retrieval reading list
Image retrieval关键词
· FAemb: A Function Approximation-Based Embedding Method for Image Retrieval
· Image Retrieval Using Scene Graphs
· Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-ScaleImage Retrieval
· Early Burst Detection for Memory-Efficient Image Retrieval
· Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval(已读)
· Query-Adaptive Late Fusion for Image Search and Person Re-identification
Hashing关键词
· Supervised Discrete Hashing
· Hashing With Binary Autoencoders
· Reflectance Hashing for Material Recognition
· Deep Hashing for Compact Binary Codes Learning
· Online Sketching Hashing
· Semantics-Preserving Hashing for Cross-View Retrieval
· Face Video Retrieval With Image Query via Hashing Across Euclidean Spaceand Riemannian Manifold
2016
· Learning to Hash for Indexing Big Data——A Survey
公布代码的:
- CSDSH:Column Sampling based Discrete Supervised Hashing
- SGH :Scalable Graph Hashing with Feature Transformation [Paper]
- AGH: Hashing with Graphs [Paper] [Code]
- BPBC: Learning Binary Codes for High-Dimensional Data Using Bilinear Projections [Paper] [Code]
- BRE: Learning to Hash with Binary Reconstructive Embeddings [Paper] [Code]
- DBQ: Double-bit quantization for hashing [Paper] [Code]
- E2LSH: Local Sensitive Hash [Project Page]
- HDML: Hamming Distance Metric Learning [Paper] [Code]
- IMH: Inter-Media Hashing for Large-scale Retrieval from Heterogenous Data Sources [Project Page][Code]
- ISOH: Isotropic Hashing [Paper] [Code]
- ITQ: Iterative Quantization: A Procrustean Approach to Learning Binary Codes [Project Page][Paper] [Code]
- KLSH: Kernelized Locality-Sensitive Hashing for Scalable Image Search [Project Page] [Paper][Code]
- KMH: K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes [Paper] [Code]
- KSH: Supervised Hashing with Kernels [Paper] [Code]
- MDSH: Multidimensional Spectral Hashing [Paper] [Code]
- MH: Manhattan hashing for large-scale image retrieval [Paper] [Code]
- MLH: Minimal Loss Hashing for Compact Binary Codes [Paper] [Code] [Slide] (KMH中有提到MLH是一种半监督的哈希)
- OPQ: Optimized Product Quantization for Approximate Nearest Neighbor Search [Paper] [Code]
- SH: Spectral Hashing [Paper] [Code]
- IHM: Inductive Hashing on Manifolds (2013 CVPR) ProjectPage
- BSPH: Semi-supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning (2012 TKDE)ProjectPage
- FastHash: Fast Supervised Hashing with Decision Trees for High-Dimensional Data (2014 CVPR)[Code]
- Spherical Hashing: Spherical Hashing (2012 CVPR)
无代码:
- PDH: Predictable Dual-View Hashing (ICML2013)
常用数据库
- LabelMe
- min-loss-hashing
关注的人
注:下面不同的哈希方法的代码可以在他们的主页上找到
Grauman
Image search and large-scale retrieval系列Paper
Norouzi
Hamming Distance Metric Learning
Fast Search in Hamming Space with Multi-Index Hashing
Minimal Loss Hashing for Compact Binary Codes code
Fergus
Spectral Hashing
readMultidimensional Spectral Hashing
Chhshen & Guosheng Lin
A general two-step approach to learning-based hashing (CVPR 2013)code in Bitbucket
阅读笔记Learning hash functions using column generation (ICML 2013)code in Bitbucket
Fast Supervised Hashing with Decision Trees (CVPR 2014)Papercode in Bitbucket
readYunchao
Iterative Quantization (CVPR 2011)Project page
readAngular Quantization-based Binary Codes for Fast Similarity Search (NIPS 2012)Project page
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections (CVPR 2013)Project page
kahe
K-means Hashing (CVPR 2013)code link from his homepage
readOptimized Product Quantization (CVPR 2013)Project page
Jun Wang
*Wei Liu *
Xianglong LIU, 刘老师是2012年开始做哈希,发表过一系列论文,是国内做哈希比较早的学者,在他的主页上有一些他发表的哈希文章的代码。
参考资料:
1. Hashing图像检索源码及数据库总结http://yongyuan.name/blog/codes-of-hash-for-image-retrieval.html
2. 大数据哈希学习:现状与趋势http://www.36dsj.com/archives/23799
3. CVPR14图像检索papershttp://yongyuan.name/blog/cvpr14-reading-list.html
4. CVPR15 image retrieval readinglisthttp://yongyuan.name/blog/cvpr15-image-retrieval-reading-list.html
他人讲解papers的一些好博文
- Locality Sensitive Hashing(LSH)之随机投影法
- Semi-Supervised Hashing
- Spherical Hashing
非哈希方法
- liangzheng
- Packing and Padding: Coupled Multi-Index for Accurate Image Retrieval
- Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval
- Lp-norm IDF for Large Scale Image Search
- Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search
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