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adelaidet_boxinst

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

apc2mesh

bbam

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

boxteacher

[CVPR 2023] Exploring High-Quality Pseudo Masks for Weakly Supervised Instance Segmentation

cbam_attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

coordattention

Code for our CVPR2021 paper coordinate attention

crack-detection-and-segmentation-dataset-for-uav-inspection

:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

crack-detection_datasest

crack_kinematics

This repository contains the codes for computing crack kinematics using a binary mask that represents a segmented crack. The methodoly hereby implementes was presented in the paper "Determing crack kinematics from imaged crack patterns" by Pantoja-Rosero et., al.

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

cs-net

CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)

dadt_buildings

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplsd

Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"

deepwindows

PyTorch Implementation of DeepWindows

ecp_fcn

FCN implementation on ECP(Ecole Centrale Paris) facades dataset, PyTorch

jtfn

Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation (ICCV21)

lc2wf

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

line3dpp

Line3D++ - Multi-View Stereo using Line Segments

liot_topo

A novel local intensity order transformation for robust curvilinear object segmentation(TIP)

lod3_buildings

This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings using a structure from motion and semantic segmentation. The methodoly hereby implementes was presented in the paper "Generating LOD3 building models from structure-from-motion and semantic segmentation" by Pantoja-Rosero et., al.

parisartdecofacadesdataset

pidnet

This is the official repository for our recent work: PIDNet

point2roof

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

points2poly

Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]

polyfit

Polygonal Surface Reconstruction from Point Clouds

pytorch-encoding

A CV toolkit for my papers.

scan2lod3

Implementation of the CVPR paper "Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks"