Cuibaby

End-to-end-Autonomous-Driving

[IEEE T-PAMI] All you need for End-to-end Autonomous Driving

HomePage

Yunhe Wang's HomePage

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-hd-map-construction

A curated list of awesome HD map construction methods

LaneSegNet

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

VMA

A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type

neural_map_prior

The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.

HDMapNet

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.

HWLane

lane detection

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

cls_KD

'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

MFIALane

MFIALane: Multi-scale Feature Information Aggregator Network for Lane Detection

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

Data-Free-Adversarial-Distillation

Code and pretrained models for paper: Data-Free Adversarial Distillation

deit

Official DeiT repository

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

FGD

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

GANet

A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022

LD

Localization Distillation for Object Detection (CVPR 2022, TPAMI 2023)

ReviewKD

Distilling Knowledge via Knowledge Review, CVPR 2021

MultiMAE

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

lanedet

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

OpenLane

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

ConvNeXt

Code release for ConvNeXt model

mae_segmentation

reproduction of semantic segmentation using masked autoencoder (mae)