:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pang, Junbiao, Xiong, Baocheng, Wu, Jiaqi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2404.12702
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis
by: Wang, Zhicheng, et al.
Published: (2025)

Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
by: Wu, Jiaqi, et al.
Published: (2024)

Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
by: Wu, Jiaqi, et al.
Published: (2025)

Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images
by: Kyem, Blessing Agyei, et al.
Published: (2025)

In-Distribution Consistency Regularization Improves the Generalization of Quantization-Aware Training
by: Pang, Junbiao, et al.
Published: (2024)

Automated Pavement Cracks Detection and Classification Using Deep Learning
by: Nafaa, Selvia, et al.
Published: (2024)

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification
by: Wu, Jiaqi, et al.
Published: (2024)

Enhancing Pavement Crack Classification with Bidirectional Cascaded Neural Networks
by: Alhadidi, Taqwa I., et al.
Published: (2025)

Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix
by: Pang, Junbiao, et al.
Published: (2025)

Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network
by: Wang, Zhen, et al.
Published: (2024)

Adaptively Sampling-Reusing-Mixing Decomposed Gradients to Speed Up Sharpness Aware Minimization
by: Deng, Jiaxin, et al.
Published: (2025)

IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based Loss
by: Xiao, Ruiqiang, et al.
Published: (2024)

MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
by: Pang, Junbiao, et al.
Published: (2025)

NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)

RoadFusion: Latent Diffusion Model for Pavement Defect Detection
by: Aqeel, Muhammad, et al.
Published: (2025)

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
by: Deng, Jiaxin, et al.
Published: (2024)

Efficiently Training A Flat Neural Network Before It has been Quantizated
by: Xia, Peng, et al.
Published: (2025)

The Quadratic Geometry of Flow Matching: Semantic Granularity Alignment for Text-to-Image Synthesis
by: Xiong, Zhinan, et al.
Published: (2026)

Multi-Granularity Hand Action Detection
by: Zhe, Ting, et al.
Published: (2023)

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images
by: Danyo, Andrews, et al.
Published: (2025)

CrackSegFlow: Controllable Flow Matching Synthesis for Generalizable Crack Segmentation with a 50K Image-Mask Benchmark
by: Asadi, Babak, et al.
Published: (2026)

Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization
by: Deng, Jiaxin, et al.
Published: (2024)

Bilateral Sharpness-Aware Minimization for Flatter Minima
by: Deng, Jiaxin, et al.
Published: (2024)

CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation
by: Sadallah, Nassim, et al.
Published: (2026)

PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
by: Thoma, Marios, et al.
Published: (2025)

CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation
by: Jiang, Xiaoyan, et al.
Published: (2024)

GeoMVD: Geometry-Enhanced Multi-View Generation Model Based on Geometric Information Extraction
by: Wu, Jiaqi, et al.
Published: (2025)

Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
by: Rostami, Ghodsiyeh, et al.
Published: (2025)

Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime
by: Antariksa, Gian, et al.
Published: (2025)

PaveSAM Segment Anything for Pavement Distress
by: Owor, Neema Jakisa, et al.
Published: (2024)

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment
by: Kyem, Blessing Agyei, et al.
Published: (2026)

Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images
by: Pang, Junbiao, et al.
Published: (2024)

Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
by: Zhang, Libo, et al.
Published: (2023)

Context-Enhanced Memory-Refined Transformer for Online Action Detection
by: Pang, Zhanzhong, et al.
Published: (2025)

Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation
by: Gu, Zejun, et al.
Published: (2024)

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
by: Chen, Tao, et al.
Published: (2025)

Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion for Efficient Crack Detection
by: Kyem, Blessing Agyei, et al.
Published: (2025)

Multi-Granularity Video Object Segmentation
by: Lim, Sangbeom, et al.
Published: (2024)

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
by: Kyem, Blessing Agyei, et al.
Published: (2024)

Collaborative Reconstruction and Repair for Multi-class Industrial Anomaly Detection
by: Wang, Qishan, et al.
Published: (2025)