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3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3d-icp-covariance

Source code to estimate the 3D ICP covariance

aanet

AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020

active-convolution

Active Convolution

adambnn

How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.

adapnet

TensorFlow model for training AdapNet for semantic segmentation

adapnet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

adaptivewingloss

PyTorch Implementation of Adaptive Wing Loss and Wing Loss

adaptivewingloss-1

[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

aimet-model-zoo

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

annbench

A lightweight benchmark for approximate nearest neighbor search

around-view-monitoring-avm

ask_attend_and_answer

Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

auto-birds-eye

Bird's eye/Top Down view generation and mapping with deep learning.

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

autopilot-updating-notes

自动驾驶更新笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR2023、特斯拉AI DAY等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。 未完待续........ 如有合作意向，请联系 [email protected]

autoware

Open-source software for urban autonomous driving

avm_dataset

Public Dataset of AVM (Around View Monitoring) System for Auto Parking

avm_ss

https://link.springer.com/article/10.1007%2Fs00138-018-0986-z

avod

Code for 3D object detection for autonomous driving

awesome-360-vision

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-code

Links to a curated list of awesome implementations of models.