A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》

Last update: Nov 27, 2021

Related tags

Deep Learning RangeLoss-Pytorch-ReID

Overview

RangeLoss Pytorch

This is a Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》
There is also a version of RangeLoss for local feature of AlignedReID++, which is proposed in paper 《Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification》

Code Environment Description

Our code execution environment is:

Operating System: Ubuntu16.04 LTS
Python version: 3.5.1
Torch 0.4.0

Code structure description

|--range_loss.py
|--README.md

To do list

Give experiments results in ReID application
Write a summary blog

Owner

Youzhi Gu

Master student, Foresight Control Center, Zhejiang University / Research intern of Face++

GitHub Repository

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A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》

Related tags

Overview

RangeLoss Pytorch

Code Environment Description

Code structure description

To do list

Owner

Youzhi Gu

This repo holds code for TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

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A Pytorch reproduction of Range Loss, which is proposed in paper 《Range Loss for Deep Face Recognition with Long-Tailed Training Data》

Related tags

Overview

RangeLoss Pytorch

Code Environment Description

Code structure description

To do list

Owner

Youzhi Gu

This repo holds code for TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

DIP-football - A football video analyse system based on Yolov5, alphapose, Qt6

Framework for training options with different attention mechanism and using them to solve downstream tasks.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

dualFace: Two-Stage Drawing Guidance for Freehand Portrait Sketching (CVMJ)

Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

Automatic labeling, conversion of different data set formats, sample size statistics, model cascade

Implementation of QuickDraw - an online game developed by Google, combined with AirGesture - a simple gesture recognition application

The Noise Contrastive Estimation for softmax output written in Pytorch

Codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

Self Governing Neural Networks (SGNN): the Projection Layer

The official repository for "Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds"

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

A robotic arm that mimics hand movement through MediaPipe tracking.

Dataloader tools for language modelling

Retinal vessel segmentation based on GT-UNet

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.