hust-lidelong Goto Github PK

ai-research-tools

:hammer:AI 方向好用的科研工具

artificial-intelligence-terminology-database

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

awesome-chatgpt

ChatGPT资料汇总学习，持续更新......

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

boosted-oicr

Distilling Knowledge from Refinement in Multiple Instance Detection Networks

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

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

cv_paperdaily

CV 论文笔记

cvpr2022-low-level-vision

A Collection of Papers and Codes in CVPR2022 about low level vision

deeplens_eval

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

dynamichead

fast-rcnn

Fast R-CNN training by pseudo ground truths

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

miemiedetection

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection

Open MMLab Detection Toolbox and Benchmark

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

oicr

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

paper-implementations

Use PyTorch to implement some classic frameworks

paperwriting

pcl.pytorch

PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

prepare_detection_dataset

convert dataset to coco/voc format

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

refvsr

[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

sparseinst

SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022

swinir

SwinIR: Image Restoration Using Swin Transformer