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"

6 / 6 papers shown

Title
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 44 1 0 22 Nov 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test Johannes Flotzinger Philipp J. Rösch Norbert Oswald T. Braml 31 0 0 07 Sep 2023
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation Hrishikesh Sharma Pandaba Pradhan P. Balamuralidhar 33 6 0 02 Dec 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 36 42 0 07 Feb 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Deep convolutional filter banks for texture recognition and segmentation Mircea Cimpoi Subhransu Maji Andrea Vedaldi 3DV 34 53 0 25 Nov 2014