Pinned Repositories
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
hust-lidelong's Repositories
hust-lidelong/Awesome-ChatGPT
ChatGPT资料汇总学习，持续更新......
hust-lidelong/AI-research-tools
:hammer:AI 方向好用的科研工具
hust-lidelong/Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
hust-lidelong/Awesome-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
hust-lidelong/Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
hust-lidelong/awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
hust-lidelong/Boosted-OICR
Distilling Knowledge from Refinement in Multiple Instance Detection Networks
hust-lidelong/CV_PaperDaily
CV 论文笔记
hust-lidelong/CVPR2022-Low-Level-Vision
A Collection of Papers and Codes in CVPR2022 about low level vision
hust-lidelong/DRN
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
hust-lidelong/DynamicHead
hust-lidelong/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
hust-lidelong/miemiedetection
Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.
hust-lidelong/mmdeploy
OpenMMLab Model Deployment Framework
hust-lidelong/mmdetection
Open MMLab Detection Toolbox and Benchmark
hust-lidelong/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
hust-lidelong/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".
hust-lidelong/PaperWriting
hust-lidelong/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".
hust-lidelong/prepare_detection_dataset
convert dataset to coco/voc format
hust-lidelong/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
hust-lidelong/RefVSR
[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"
hust-lidelong/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
hust-lidelong/SparseInst
SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022
hust-lidelong/SwinIR
SwinIR: Image Restoration Using Swin Transformer
hust-lidelong/SwinTrack
hust-lidelong/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
hust-lidelong/WSOD_Paper_List
A list of recent WSOD paper
hust-lidelong/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.9M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
hust-lidelong/yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥