26 Open source projects that are alternatives of or similar to -Online-Soft-Mining-and-Class-Aware-Attention-Pytorch

Generalized Deep Metric Learning.

some loss functions of image segmentation

C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)

Official repository for "Orthogonal Projection Loss" (ICCV'21)

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Tensorflow NCE loss in Keras

A loss function for categories with a hierarchical structure.

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

StyleGAN Encoder - converts real images to latent space

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

A document covering machine learning basics. 🤖📊

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Improving MMD-GAN training with repulsive loss function

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020

simple example face recognition with deep metric learning to dlib

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)