Awesome image retrieval papers

Local Feature Based

• Object retrieval with large vocabularies and fast spatial matching
• 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
• All about VLAD
• Aggregating localdescriptors into a compact image representatio
• More About VLAD: A Leap from Euclidean to Riemannian Manifolds
• Revisiting the VLAD image representation, project
• Improving the Fisher Kernel for Large-Scale Image Classification
• Image Classification with the Fisher Vector: Theory and Practice

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.

Industry CBIR

• Visual Search at Pinterest
• Visual Discovery at Pinterest
• Visual Search at ebay

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.