facebookresearch / multigrainLinks
Code for "MultiGrain: a unified image embedding for classes and instances"
☆231Updated 5 years ago
Alternatives and similar repositories for multigrain
Users that are interested in multigrain are comparing it to the libraries listed below
Sorting:
- iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019☆102Updated 4 years ago
- Diffusion on manifolds for image retrieval☆126Updated 5 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆159Updated 4 years ago
- ☆102Updated 2 years ago
- Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)☆224Updated 6 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 7 years ago
- Efficient Diffusion for Image Retrieval☆222Updated 5 years ago
- Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations☆86Updated 7 years ago
- Deep metric learning methods implemented in Chainer☆158Updated 7 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"☆98Updated 8 years ago
- Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)☆100Updated 5 years ago
- Combination of Multiple Global Descriptors for Image Retrieval☆150Updated 5 years ago
- ☆143Updated 3 years ago
- Tensorflow Implementation of Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning☆33Updated 6 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆97Updated 3 years ago
- 🌁 Image retrieval using deep learning of global descriptors.☆140Updated 7 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆174Updated 7 years ago
- ☆74Updated 6 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆66Updated 3 years ago
- Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.☆39Updated 7 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆151Updated 5 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Updated 2 years ago
- RMAC implementation in Keras☆84Updated 7 years ago
- Code for Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval☆45Updated 7 years ago
- Cross-dimensional weighting for aggregated deep convolutional features.☆105Updated 9 years ago
- Video Face Clustering with Unknown Number of Clusters - Ball Cluster Learning☆98Updated 5 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Updated last year
- Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-M…☆62Updated 8 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆278Updated 7 years ago