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哈希学习(2)—— Hashing图像检索资源

来源:华拓网

CVPR14 图像检索papers——图像检索

1.  Triangulation embedding and democratic aggregation for imagesearch (Orals)

2.  Collaborative Hashing (post)

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 []
  • AGH: Hashing with Graphs  
  • BPBC: Learning Binary Codes for High-Dimensional Data Using Bilinear Projections  
  • BRE: Learning to Hash with Binary Reconstructive Embeddings  
  • DBQ: Double-bit quantization for hashing  
  • E2LSH: Local Sensitive Hash  
  • HDML: Hamming Distance Metric Learning  
  • IMH: Inter-Media Hashing for Large-scale Retrieval from Heterogenous Data Sources 
  • ISOH: Isotropic Hashing  
  • ITQ: Iterative Quantization: A Procrustean Approach to Learning Binary Codes   
  • KLSH: Kernelized Locality-Sensitive Hashing for Scalable Image Search  
  • KMH: K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes   
  • KSH: Supervised Hashing with Kernels   
  • MDSH: Multidimensional Spectral Hashing  
  • MH: Manhattan hashing for large-scale image retrieval   
  • MLH: Minimal Loss Hashing for Compact Binary Codes    (KMH中有提到MLH是一种半监督的哈希)
  • OPQ: Optimized Product Quantization for Approximate Nearest Neighbor Search  
  • SH: Spectral Hashing   
  • IHM: Inductive Hashing on Manifolds (2013 CVPR)  
  • BSPH: Semi-supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning (2012 TKDE) 
  • FastHash: Fast Supervised Hashing with Decision Trees for High-Dimensional Data (2014 CVPR) 
  • Spherical Hashing: Spherical Hashing (2012 CVPR)
  • 无代码:

    1. PDH:  (ICML2013) 

    常用数据库


    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

    • Hamming Distance Metric Learning

      Fast Search in Hamming Space with Multi-Index Hashing

    • Spectral Hashing read

      Multidimensional Spectral Hashing


    参考资料:



    他人讲解papers的一些好博文


    非哈希方法

      • 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