Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-image-retrieval-papers
https://github.com/lgbwust/awesome-image-retrieval-papers
Last synced: 4 days ago
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Awesome image retrieval papers
- Improving the Fisher Kernel for Large-Scale Image Classification
- ORB: an efficient alternative to SIFT or SURF
- Three things everyone should know to improve object retrieval
- On-the-fly learning for visual search of large-scale image and video datasets
- Cross-dimensional Weighting for Aggregated Deep Convolutional Features
- Aggregating Deep Convolutional Features for Image Retrieval
- Particular object retrieval with integral max-pooling of CNN activations
- Learning to Match Aerial Images with Deep Attentive Architectures
- Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
- Selective Deep Convolutional Features for Image Retrieval
- Optimized Product Quantization
- Videntifier - scale local feature database
- Web-Scale Responsive Visual Search at Bing
- Visual Discovery at Pinterest
- Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce - incubator/fk-visual-search)
- Object retrieval with large vocabularies and fast spatial matching
- Bags of Local Convolutional Features for Scalable Instance Search
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Awesome multiclass classification
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Tutorials
- Linear Classification - classify-demo/)
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Logo Detection and Classification
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Image Fingerprinting
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CVPR 2018
- 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
- SuperPoint: Self-Supervised Interest Point Detection and Description
- GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
- Google Landmark Retrieval Challenge
- Alibaba Large-scale Image Search Challenge
- Pkbigdata image retrieval
- Graph-Cut RANSAC - cut-ransac)
- openMVG robust_estimation
- Image Matching Benchmark
- Robust feature matching in 2.3µs
- Local Descriptors Optimized for Average Precision
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