1. Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data

2.Neural Codes for Image Retrieval

3.Efficient On-the-fly Category Retrieval using ConvNets and GPUs

4.Deep Learning of Binary Hash Codes for Fast Image Retrieval

5.Learning visual similarity for product design with convolutional neural networks

6.Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

7.Exploiting Local Features from Deep Networks for Image Retrieval

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

9.Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network

intro: ICCV 2015
intro: DARN, cross-entropy loss, triplet loss
arxiv: http://arxiv.org/abs/1505.07922

10.Aggregating Deep Convolutional Features for Image Retrieval

11.Feature Learning based Deep Supervised Hashing with Pairwise Labels

12.Particular object retrieval with integral max-pooling of CNN activations

intro: use max-pooling to aggregate the deep descriptors, R-MAC (regional maximum activation of convolutions)
arxiv: https://arxiv.org/abs/1511.05879

Group Invariant Deep Representations for Image Instance Retrieval
arxiv: http://arxiv.org/abs/1601.02093

13.Where to Buy It: Matching Street Clothing Photos in Online Shops

14.Deep Image Retrieval: Learning global representations for image search

15.Bags of Local Convolutional Features for Scalable Instance Search

16.Faster R-CNN Features for Instance Search

17.Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks

18.Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles

19.DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

20.CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

21.SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval

22.Deep Semantic-Preserving and Ranking-Based Hashing for Image Retrieval

23.SIFT Meets CNN: A Decade Survey of Instance Retrieval

24.Deep Hashing: A Joint Approach for Image Signature Learning

25.End-to-end Learning of Deep Visual Representations for Image Retrieval