myfamily111 Goto Github PK

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

api_automation_test

接口自动化测试平台（老平台移步master_old分支）

asff

yolov3 with mobilenet v2 and ASFF

assd-pytorch

[CVIU 2019] ASSD learns to highlight useful regions on the feature maps while suppressing the irrelevant information, thereby providing reliable guidance for object detection.

blockcnn

BlockCNN: A Deep Network for Artifact Removal and Image Compression

cmt.pytorch

CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

confluence

Implementation of the Confluence and Confluence NMS algorithms

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

fbcnn

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

hardnet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

hardnet.pytorch

HardNet: Working hard to know your neighbor's margins: Local descriptor learning loss (personal version)

hardnet_multidataset

Provided code allows to train HardNet8 (described in the thesis) on multiple datasets of format of Liberty or AMOS.

hpatches-benchmark

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

image-restoration-sde

Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Runner-up method in NTIRE Image Shadow Removal Challenge, CVPRW 2023.

image-super-resolution-via-iterative-refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

kornia

Open Source Differentiable Computer Vision Library

lift

Code release for the ECCV 2016 paper

mabn

maxvit

[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

maxvit-1

PyTorch reimplementation of the paper "MaxViT: Multi-Axis Vision Transformer" [arXiv 2022].

meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

metersphere

MeterSphere 一站式开源持续测试平台，为软件质量保驾护航。搞测试，就选 MeterSphere！

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mobileperf

Android performance test

ms-piifd_registration

A feature-based registration algorithm for multi-source images

ps-dataset

PhotoSynth Dataset for improving local patch Descriptors

pyshearlets

2D Fast Finite Shearlet Transforms (FFST)

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

qgcn

Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)