Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Guodong, Liang, Qihang, Pan, Xingyu, Liu, Moyun, Zhang, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer
by: Sun, Guodong, et al.
Published: (2024)
by: Sun, Guodong, et al.
Published: (2024)
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
by: Tommasino, Cristian, et al.
Published: (2024)
by: Tommasino, Cristian, et al.
Published: (2024)
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
by: Xu, Liying, et al.
Published: (2025)
by: Xu, Liying, et al.
Published: (2025)
Seismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection
by: Chen, Ran, et al.
Published: (2024)
by: Chen, Ran, et al.
Published: (2024)
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
by: Qi, Lirui, et al.
Published: (2025)
by: Qi, Lirui, et al.
Published: (2025)
On The Robustness of Foundational 3D Medical Image Segmentation Models Against Imprecise Visual Prompts
by: Chattopadhyay, Soumitri, et al.
Published: (2026)
by: Chattopadhyay, Soumitri, et al.
Published: (2026)
AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models
by: Delaquintana-Aramendi, Uxue, et al.
Published: (2025)
by: Delaquintana-Aramendi, Uxue, et al.
Published: (2025)
Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
by: Giedziun, Piotr, et al.
Published: (2025)
by: Giedziun, Piotr, et al.
Published: (2025)
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization
by: Mahbod, Amirreza, et al.
Published: (2023)
by: Mahbod, Amirreza, et al.
Published: (2023)
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
by: Liao, Weibin, et al.
Published: (2024)
by: Liao, Weibin, et al.
Published: (2024)
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
by: Cui, Ziwei, et al.
Published: (2024)
by: Cui, Ziwei, et al.
Published: (2024)
Lightweight Deep Models for Dermatological Disease Detection: A Study on Instance Selection and Channel Optimization
by: Gonzalez, Ian Mateos, et al.
Published: (2025)
by: Gonzalez, Ian Mateos, et al.
Published: (2025)
BAISeg: Boundary Assisted Weakly Supervised Instance Segmentation
by: Wang, Tengbo, et al.
Published: (2024)
by: Wang, Tengbo, et al.
Published: (2024)
TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration
by: Pham, Xuan Loc, et al.
Published: (2025)
by: Pham, Xuan Loc, et al.
Published: (2025)
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
by: Jiang, Juntao, et al.
Published: (2024)
by: Jiang, Juntao, et al.
Published: (2024)
Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)
by: Bao, Rina, et al.
Published: (2024)
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
by: Feng, Yihong, et al.
Published: (2025)
by: Feng, Yihong, et al.
Published: (2025)
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
by: Wang, Jiamu, et al.
Published: (2024)
by: Wang, Jiamu, et al.
Published: (2024)
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
by: Rahman, Asad Ur, et al.
Published: (2024)
by: Rahman, Asad Ur, et al.
Published: (2024)
A Multi-modal Detection System for Infrastructure-based Freight Signal Priority
by: Zhang, Ziyan, et al.
Published: (2026)
by: Zhang, Ziyan, et al.
Published: (2026)
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
by: Zhang, Zeren, et al.
Published: (2023)
by: Zhang, Zeren, et al.
Published: (2023)
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
by: Zu, Haiyue, et al.
Published: (2025)
by: Zu, Haiyue, et al.
Published: (2025)
A Steel Surface Defect Detection Method Based on Lightweight Convolution Optimization
by: Chen, Cong, et al.
Published: (2025)
by: Chen, Cong, et al.
Published: (2025)
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
by: Schmidt, Tanner, et al.
Published: (2025)
by: Schmidt, Tanner, et al.
Published: (2025)
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
by: Zhang, Dingyuan, et al.
Published: (2023)
by: Zhang, Dingyuan, et al.
Published: (2023)
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)
by: Alwadee, Ebtihal J., et al.
Published: (2024)
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
by: Zhang, Xinru, et al.
Published: (2024)
by: Zhang, Xinru, et al.
Published: (2024)
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
by: Zhang, Jiong, et al.
Published: (2024)
by: Zhang, Jiong, et al.
Published: (2024)
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images
by: Yang, Jin, et al.
Published: (2024)
by: Yang, Jin, et al.
Published: (2024)
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images
by: Ding, Yujie, et al.
Published: (2025)
by: Ding, Yujie, et al.
Published: (2025)
Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
by: Dong, Caixia, et al.
Published: (2025)
by: Dong, Caixia, et al.
Published: (2025)
One-Prompt to Segment All Medical Images
by: Wu, Junde, et al.
Published: (2023)
by: Wu, Junde, et al.
Published: (2023)
SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation
by: Simons, Samuel J., et al.
Published: (2024)
by: Simons, Samuel J., et al.
Published: (2024)
Multi-scale Cascaded Foundation Model for Whole-body Organs-at-risk Segmentation
by: Hao, Rui, et al.
Published: (2024)
by: Hao, Rui, et al.
Published: (2024)
Research on Improving the High Precision and Lightweight Diabetic Retinopathy Detection of YOLOv8n
by: Yuhuan, Fei, et al.
Published: (2025)
by: Yuhuan, Fei, et al.
Published: (2025)
A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images
by: Wu, Zhizhong, et al.
Published: (2024)
by: Wu, Zhizhong, et al.
Published: (2024)
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)
by: Javed, Syed, et al.
Published: (2024)
BMAD: Benchmarks for Medical Anomaly Detection
by: Bao, Jinan, et al.
Published: (2023)
by: Bao, Jinan, et al.
Published: (2023)
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
by: Gu, Hanxue, et al.
Published: (2025)
by: Gu, Hanxue, et al.
Published: (2025)
Similar Items
-
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
by: Zhang, Yang, et al.
Published: (2024) -
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer
by: Sun, Guodong, et al.
Published: (2024) -
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
by: Tommasino, Cristian, et al.
Published: (2024) -
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
by: Xu, Liying, et al.
Published: (2025) -
Seismic Fault SAM: Adapting SAM with Lightweight Modules and 2.5D Strategy for Fault Detection
by: Chen, Ran, et al.
Published: (2024)