some awesome image retrieval papers

1、Deep Learning for Content-Based Image Retrieval

2、Online Multimodal Deep Similarity Learning with Application to Image Retrieval

3、Neural Codes for Image Retrieval

4、A practical guide to CNNs and Fisher Vectors for image instance retrieval

5、Convolutional Neural Codes for Image Retrieval

6、Deep Convolutional Features for Image Based Retrieval and Scene Categorization

7、Deep Hashing for Compact Binary Codes Learning

8、Deep Learning of Binary Hash Codes for Fast Image Retrieval

9、Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

10、Efficient Manifold Ranking for Image Retrieval

11、Iterative Quantization A Procrustean Approach to Learning Binary Codes

12、Large Scale Online Learning of Image Similarity Through Ranking

13、Learning Hash Functions Using Sparse Reconstruction

14、Using Very Deep Autoencoders for Content-Based Image Retrieval

15、Supervised Learning of Semantics-Preserving Hashing via Deep Neural Networks for Large-Scale Image Search

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Awesome image retrieval papers

Local Feature Based

• Object retrieval with large vocabularies and fast spatial matching
• Improving the Fisher Kernel for Large-Scale Image Classification
• Visual Categorization with Bags of Keypoints
• ORB: an efficient alternative to SIFT or SURF
• Object Recognition from Local Scale-Invariant Features
• Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
• Three things everyone should know to improve object retrieval
• On-the-fly learning for visual search of large-scale image and video datasets

Deep Learning Feature Based

• Deep Image Retrieval:Learning Global Representations for Image earch
• End-to-end Learning of Deep Visual Representations for Image retrieval, DIR更详细的论文说明
• What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?, 关于layer选取的问题
• Bags of Local Convolutional Features for Scalable Instance Search
• Faster R-CNN Features for Instance Search
• Cross-dimensional Weighting for Aggregated Deep Convolutional Features, project
• Class-Weighted Convolutional Features for Image Retrieval
• Multi-Scale Orderless Pooling of Deep Convolutional Activation Features, VLAD coding
• Aggregating Deep Convolutional Features for Image Retrieval, 论文笔记, 基于深度学习的视觉实例搜索研究进展.
• Particular object retrieval with integral max-pooling of CNN activations, project
• Particular object retrieval using CNN
• Learning to Match Aerial Images with Deep Attentive Architectures.
• Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
• Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval, fv和cnn特征融合提升
• Selective Deep Convolutional Features for Image Retrieval
• Class-Weighted Convolutional Features for Image Retrieval

ANN search

• Practical and Optimal LSH for Angular Distance
• pq-fast-scan
• faiss. A library for efficient similarity search and clustering of dense vectors.
• lopq. Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
• nns_benchmark. Benchmark of Nearest Neighbor Search on High Dimensional Data.
• Optimized Product Quantization
• Falconn. FAst Lookups of Cosine and Other Nearest Neighbors.
• Annoy. Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
• NMSLIB. Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

CBIR in Industry

• Videntifier is a visual search engine based on a patented large-scale local feature database
• Web-Scale Responsive Visual Search at Bing
• Visual Search at Pinterest
• Visual Discovery at Pinterest
• Visual Search at ebay
• Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce, project

feature fusion

• Feature fusion using Canonical Correlation Analysis

Feature Matching

• Image Matching Benchmark
• GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence
• A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
• CODE: Coherence Based Decision Boundaries for Feature Correspondence
• Robust feature matching in 2.3µs
• PopSift is an implementation of the SIFT algorithm in CUDA
• openMVG robust_estimation

Plan to read

• VisualRank: Applying PageRank to Large-Scale Image Search

Tutorials

• Recent Image Search Techniques
• Compact Features for Visual Search
• multimedia-indexing. A framework for large-scale feature extraction, indexing and retrieval.

Awesome multiclass classification

papers

• Loss Functions for Top-k Error: Analysis and Insights and Top-k Multiclass SVM, code

Tutorials

• Linear Classification, 中文版, demo

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Logo Detection and Classification

Papers

• LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

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Object Detection and Recognition

Papers

• SSD: Single Shot MultiBox Detector, code
• A Closer Look: Small Object Detection in Faster R-CNN

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Video Classification

Papers

• Large-scale Video Classification with Convolutional Neural Networks
• Learning Spatiotemporal Features With 3D Convolutional Networks, code, doc, project
• ActionVLAD: Learning spatio-temporal aggregation for action classification

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ROS for Robotics

• Learning_ROS_for_Robotics_Programming_2nd_edition

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Image Fingerprinting

• Video fingerprinting tool. Finding duplicate movies in a large dataset

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CVPR 2018

• Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking, project, CVPR 2018
• Fast Spectral Ranking for Similarity Search, code, CVPR 2018
• Learning a Complete Image Indexing Pipeline, CVPR 2018

Deep Learning Feature (Global Feature)

• Towards Good Practices for Image Retrieval Based on CNN Features
• Fine-tuning CNN Image Retrieval with No Human Annotation
• An accurate retrieval through R-MAC+ descriptors for landmark recognition
• Regional Attention Based Deep Feature for Image Retrieval, code, BMVC 2018.

Deep Learning Feature (Local Feature)

• Learning Discriminative Affine Regions via Discriminability, affnet
• A Large Dataset for Improving Patch Matching, PS-Dataset
• Working hard to know your neighbor's margins: Local descriptor learning loss, hardnet
• MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching, matchnet
• LF-Net: Learning Local Features from Images, NeurIPS 2018.
• Local Descriptors Optimized for Average Precision, CVPR 2018
• SuperPoint: Self-Supervised Interest Point Detection and Description, Magic Leap
• GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints, code, ECCV 2018.
• Learning local feature descriptors with triplets and shallow convolutional neural networks, BMVC 2016.

CBIR Competition and Challenge

• Google Landmark Retrieval Challenge, 2018
• Alibaba Large-scale Image Search Challenge, 2015
• Pkbigdata image retrieval, 2015

CBIR for Duplicate(copy) detection

• A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting

Instance Matching

• Graph-Cut RANSAC, code
• Image Matching Benchmark
• GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence
• A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
• CODE: Coherence Based Decision Boundaries for Feature Correspondence
• Robust feature matching in 2.3µs
• PopSift is an implementation of the SIFT algorithm in CUDA
• openMVG robust_estimation