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awesome-image-retrieval-papers
https://github.com/lgbwust/awesome-image-retrieval-papers
- 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 Image Retrieval:Learning Global Representations for Image earch
- Bags of Local Convolutional Features for Scalable Instance Search
- Faster R-CNN Features for Instance Search
- Cross-dimensional Weighting for Aggregated Deep Convolutional Features
- Class-Weighted Convolutional Features for Image Retrieval
- Aggregating Deep Convolutional Features for Image Retrieval
- Particular object retrieval with integral max-pooling of CNN activations
- 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
- Selective Deep Convolutional Features for Image Retrieval
- Class-Weighted Convolutional Features for Image Retrieval
- pq-fast-scan
- faiss
- lopq
- nns_benchmark
- Optimized Product Quantization
- Falconn
- Annoy
- NMSLIB - Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
- Videntifier - scale local feature database
- Web-Scale Responsive Visual Search at Bing
- Visual Search at Pinterest
- Visual Discovery at Pinterest
- Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce - incubator/fk-visual-search)
- Feature fusion using Canonical Correlation Analysis
- Image Matching Benchmark
- A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval
- Robust feature matching in 2.3µs
- PopSift is an implementation of the SIFT algorithm in CUDA
- openMVG robust_estimation
- Recent Image Search Techniques
- Compact Features for Visual Search
- multimedia-indexing - scale feature extraction, indexing and retrieval.
- Linear Classification - classify-demo/)
- LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
- Learning Spatiotemporal Features With 3D Convolutional Networks - QqZ3JHd76JfimY4QKqOojcEaf5g3JS0lNh-FHTxLag/edit), [project](http://vlg.cs.dartmouth.edu/c3d/)
- ActionVLAD: Learning spatio-temporal aggregation for action classification
- Learning_ROS_for_Robotics_Programming_2nd_edition
- Video fingerprinting tool. Finding duplicate movies in a large dataset
- Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
- Fast Spectral Ranking for Similarity Search - aiki/manifold-diffusion), CVPR 2018
- Learning a Complete Image Indexing Pipeline
- 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 - RegionalAttention), BMVC 2018.
- Learning Discriminative Affine Regions via Discriminability - aiki/affnet)
- A Large Dataset for Improving Patch Matching - Dataset](https://github.com/rmitra/PS-Dataset)
- LF-Net: Learning Local Features from Images
- Local Descriptors Optimized for Average Precision
- SuperPoint: Self-Supervised Interest Point Detection and Description
- GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
- Learning local feature descriptors with triplets and shallow convolutional neural networks
- Google Landmark Retrieval Challenge
- Alibaba Large-scale Image Search Challenge
- Pkbigdata image retrieval
- A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting
- Graph-Cut RANSAC - cut-ransac)
- 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
- Robust feature matching in 2.3µs
- PopSift is an implementation of the SIFT algorithm in CUDA
- openMVG robust_estimation
Keywords
nearest-neighbor-search
4
deep-learning
3
locality-sensitive-hashing
2
pytorch
2
product-quantization
2
approximate-nearest-neighbor-search
1
sketches
1
lsh
1
fast-lookups
1
falconn
1
cosine-similarity
1
spark
1
lopq
1
clustering
1
simd
1
visual-instance-search
1
vgg16
1
transfer-learning
1
keras
1
image-retrieval
1
convolutional-neural-networks
1
class-activation-maps
1
sift
1
image-processing
1
gpu
1
feature-extraction
1
cuda
1
computer-vision
1
slam
1
sfm
1
matching
1
gms
1
feature
1
triplets
1
tfeat-descriptor
1
descriptor
1
video-understanding
1
video-processing
1
tensorflow
1
action-recognition
1
python
1
lua
1
golang
1
c-plus-plus
1
cam
1