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adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-domain-adaptation-1

:sunglasses: A curated list of domain adaptation papers, datasets and other resources.

cagan

cawb

Cosine Annealing Warm Booting LR

ccd

This is the source code for our paper Classification Constrained Discriminator for Domain Adaptive Semantic Segmentation

fine-grained-or-not

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

imgaug

Image augmentation for machine learning experiments.

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mean-teacher

A state-of-the-art semi-supervised method for image recognition

ml-cvpr2019-swd

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.

paper-code

My first one

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

seanet

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

seg-uncertainty

IJCAI2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

shufflev2-yolov5

shufflev2-yolov5：lighter, faster and easier to deploy

soft-nms

Object Detection

ssd-pytorch

这是一个ssd-pytorch的源码，可以用于训练自己的模型。

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ua-mt

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

yolov5_prune

yolov5 prune，Support V2, V3, V4 and V6 versions of yolov5

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors