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--every-day-paper--

adjustbnd4imbalance

Adjust Decision Boundary for Class Imbalanced Learning

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.

arxiv-utils

Meaningful titles for tabs and PDF downloads!

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome_ssd_fpn_giou

This repository carries out some paper recurring work

balancedgroupsoftmax

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

balancedmetasoftmax

[NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"

balancedmetasoftmax-classification

Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

breast_cancer_detection_classification

Research project ( collaboration with MICS Lab at CentraleSupélec)

catboost_focal_loss

📈 😸 Binary focal loss implementations for catboost framework

cdiou-cdiouloss

🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

complement-cross-entropy

Imbalanced Image Classification with Complement Cross Entropy (Pytorch)

cosface-large-margin-cosine-loss-implementation

Implementation of the large margin cosine loss

cvpods

All-in-one Toolbox for Computer Vision Research.

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

deep-learning-in-production

Develop production ready deep learning code, deploy it and scale it

deep-rtc

Codes for "Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier"

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

detr

End-to-End Object Detection with Transformers

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

dl-project

Deep Learning Course Project