哈希学习(2)—— Hashing图像检索资源

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]

 

 

 

 

  • BPBC: Learning Binary Codes for High-Dimensional Data Using Bilinear Projections [Paper] [Code]

 

 

  • BRE: Learning to Hash with Binary Reconstructive Embeddings [Paper] [Code]

 

 

 

 

 

 

 

 

  • IMH: Inter-Media Hashing for Large-scale Retrieval from Heterogenous Data Sources [Project Page][Code]

 

 

 

 

 

 

 

 

  • KMH: K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes [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]

 

 

 

 

  • 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:

  1. PDHPredictable Dual-View Hashing (ICML2013) 

常用数据库

  1. LabelMe
  2. 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


 

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


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


链接:https://www.jianshu.com/p/646da8b86d04

posted @ 2018-07-03 09:37  夕月一弯  阅读(2618)  评论(1编辑  收藏  举报