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autodeeplab

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

autodeeplab-1

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

autograd-engine

automatic differentiation engine written in Numpy

autolabeling

自动标注工具

autolr

AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

automl

ZazuML - easy AutoML for Object Detection

autommdet

use bayesian optimization to optimize object detection network based on mmdetection

autopanoptic

Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation

autoscale_regression

An implementation of AutoScale regression-based method

autoseg

A speedy tool for image annotation (windows OS)

autoshape

ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

auxuslreid

The official implementation for the A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets.

avm_dataset

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

avp-slam-plus

An implementation of AVP_SLAM and some new contributions

avp-slam-sim

A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-crowd-counting

Awesome Crowd Counting

awesome-visual-sensory-anomaly-detection

baaf-net

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)

backgroundsplit-opencv

This repository is the C++ Source Code of several algorithms of Extracting Background, which are based on OpenCV libraries after I learn about the theory of these algorithms(including Frame-Difference, Gauss-Background-Difference, ViBe algorithms).

bagua

Bagua is a flexible and performant distributed training algorithm development framework.

bayesian-crowd-counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

bbam

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)

bdd-x-dataset

Berkeley Deep Drive-X (eXplanation) dataset

bevdepth

Official code for BEVDepth.

bevdet

Official code base of the BEVDet series .

bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

bevnet

Official Repository of ICCV2021 Paper, BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning