richardRadli

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

CoCa-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Multilingual-CLIP

OpenAI CLIP text encoders for multiple languages!

train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

Ultra-Fast-Lane-Detection-v2

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

CLRNet

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

generative-inpainting-pytorch

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

MLND-Capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

Eigenlanes

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

triplet-loss-pytorch

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Concrete-Autoencoders

ELM-pytorch

Extreme Learning Machine implemented in Pytorch

anoGAN

anomaly detection with GAN

Hog-feature

HOG feature extractor with simple python implementation

Reconstruction-by-inpainting-for-visual-anomaly-detection

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

RIAD

Reconstruction by Inpainting Based Anomaly Detection

inpainting-transformer

This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)

cbigan-ad

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

Numpy-ELM

A Numpy Implementation of Extreme Learning Machine (ELM)

VisionTransformer-MNIST

This notebook is designed to plot the attention maps of a vision transformer trained on MNIST digits.

Puzzle_Anomaly_Detection

fekete

Fekete points estimation algorithm

BERT

BERT model

Deep-TextSpotter-PyTorch

PyTorch implementation Deep TextSpotter