neka-nat / pytorch-hdmlView external linksLinks
Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch
☆28May 2, 2021Updated 4 years ago
Alternatives and similar repositories for pytorch-hdml
Users that are interested in pytorch-hdml are comparing it to the libraries listed below
Sorting:
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆63Jun 12, 2020Updated 5 years ago
- Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)☆52Aug 23, 2020Updated 5 years ago
- Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"☆21Aug 23, 2021Updated 4 years ago
- (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…☆36Dec 5, 2021Updated 4 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆67Jan 17, 2022Updated 4 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆150Apr 3, 2020Updated 5 years ago
- A Fast Whole-slide image Annotation Tool (FWAT) for conducting painless studies requiring annotations on whole-slide images.☆11Jun 22, 2018Updated 7 years ago
- Domain-Adaptive Multibranch Networks☆14Nov 7, 2020Updated 5 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆576Jun 17, 2020Updated 5 years ago
- ☆12Oct 21, 2019Updated 6 years ago
- Show ML predictions w/ Streamlit☆12Apr 2, 2024Updated last year
- Gaussian-Based Pooling for Convolutional Neural Networks☆30Nov 29, 2019Updated 6 years ago
- Handling whole-slide images with region-level annotations.☆10Jan 14, 2019Updated 7 years ago
- Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation☆13Mar 5, 2022Updated 3 years ago
- Implementation of semi-supervised learning using PyTorch Lightning☆14Jul 25, 2024Updated last year
- Generalized Deep Metric Learning.☆36Mar 22, 2022Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Mar 14, 2022Updated 3 years ago
- Official PyTorch implementation of "Learning with Memory-based Virtual Classes for Deep Metric Learning" (ICCV 2021)☆16Oct 13, 2021Updated 4 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Mar 24, 2023Updated 2 years ago
- Functions for easily making publication-quality figures with matplotlib.☆19Jan 20, 2024Updated 2 years ago
- [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning☆35Oct 17, 2022Updated 3 years ago
- PyTorch implementation of GLOM☆23Apr 1, 2022Updated 3 years ago
- ☆20Jun 2, 2023Updated 2 years ago
- Evolving Normalization-Activation Layers☆19Apr 10, 2020Updated 5 years ago
- This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".☆15Mar 10, 2023Updated 2 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Aug 29, 2022Updated 3 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Jun 12, 2020Updated 5 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Sep 18, 2020Updated 5 years ago
- Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)☆38Dec 19, 2021Updated 4 years ago
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.☆14Jan 21, 2020Updated 6 years ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆21Jan 19, 2023Updated 3 years ago
- Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021☆43Dec 22, 2021Updated 4 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Jun 15, 2020Updated 5 years ago
- [ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.☆43Jan 11, 2022Updated 4 years ago
- Code for CVPR 2019 paper "Deep Metric Learning to Rank"☆97Sep 21, 2021Updated 4 years ago
- PyTorch Implementation for SoftTriple Loss☆211Jul 22, 2024Updated last year
- official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020☆42Nov 28, 2020Updated 5 years ago
- A resource repository for generation of training data for deep learning.☆20Mar 5, 2019Updated 6 years ago