kshaonan's repositories
awesome-image-classification
A curated list of deep learning image classification papers and codes
BackgroundMattingV2
Real-Time High-Resolution Background Matting
MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation
albumentations
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
anomaly-toolbox
Anomaly detection using GANs.
ASLFeat
Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization
awesome-cbir-papers
📝Awesome and classical image retrieval papers
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
CV-Backbones
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
faiss
A library for efficient similarity search and clustering of dense vectors.
FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Long-Tailed-Recognition.pytorch
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pidinet
Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
PyramidNet-PyTorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
pytorch-superpoint
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
semantic-segmentation
Nvidia Semantic Segmentation monorepo
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
TokenLabeling
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
TOOD
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
vovnet-detectron2
VoVNet backbone networks for detectron2, in CVPR 2020
YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite