CompVis / metric-learning-divide-and-conquerLinks
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
☆265Updated 5 years ago
Alternatives and similar repositories for metric-learning-divide-and-conquer
Users that are interested in metric-learning-divide-and-conquer are comparing it to the libraries listed below
Sorting:
- ☆102Updated 2 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago
- Semi-supervised ImageNet1K models☆244Updated 5 years ago
- Comparison of famous convolutional neural network models☆321Updated 6 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆252Updated 3 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆255Updated 7 years ago
- Code for "MultiGrain: a unified image embedding for classes and instances"☆231Updated 5 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
- (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…☆343Updated 3 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Updated 7 years ago
- Deep metric learning methods implemented in Chainer