Awesome lists to CNN based Image Retrieval Projects an Papers
https://www.kaggle.com/c/landmark-retrieval-challenge
- 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
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SIFT Meets CNN: A Decade Survey of Instance Retrieval @TPAMI Volume 40 Issue 5 • May 2018
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SIFT Meets CNN: A Decade Survey of Instance Retrieval @arxiv
- 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