Awesome-CBIR

Awesome lists to CNN based Image Retrieval Projects an Papers

Datasets

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

SIFT Meets CNN: A Decade Survey of Instance Retrieval @TPAMI Volume 40 Issue 5 • May 2018
SIFT Meets CNN: A Decade Survey of Instance Retrieval @arxiv
VLAD特征(vector of locally aggregated descriptors)
乘积量化（Product Quantization）

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
Hamming embedding and weak geometric consistency for large scale image search
Revisiting the VLAD image representation, project
Improving the Fisher Kernel for Large-Scale Image Classification
Image Classification with the Fisher Vector: Theory and Practice
Democratic Diffusion Aggregation for ImageRetrieval
A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
Triangulation embedding and democratic aggregation for image search
Efficient Large-scale Image Search With a Vocabulary Tree, code

Deep Image Retrieval:Learning Global Representations for Image search
End-to-end Learning of Deep Visual Representations for Image retrieval
What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
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
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.

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
Local Descriptors Optimized for Average Precision, CVPR 2018
SuperPoint: Self-Supervised Interest Point Detection and Description, Magic Leap