Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset

2 April 2019

Papers citing "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset"

8 / 8 papers shown

Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark

Udayanga G.W.K.N. Gamage

245

08 Apr 2025

Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning

312

22 Nov 2023

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based SimulationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

Achref Jaziri

Martin Mundt

Andres Fernandez Rodriguez

Visvanathan Ramesh

227

18 Sep 2023

dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the TestEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023

264

07 Sep 2023

Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage RecognitionInternational Conference on Information Photonics (ICIP), 2022

123

14 Feb 2022

SCNet: A Generalized Attention-based Model for Crack Fault Segmentation

Hrishikesh Sharma

Pandaba Pradhan

P. Balamuralidhar

141

02 Dec 2021

Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect InspectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021

213

165

28 Mar 2021

Damage detection using in-domain and cross-domain transfer learning

Zaharah Bukhsh

N. Jansen

Aaqib Saeed

189

07 Feb 2021