Cover Image

A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abbasishahkoo, Amin, Dadkhah, Mahboubeh, Briand, Lionel
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAFD: Concept-Aware DNN Fault Detection using VLMs
by: Abbasishahkoo, Amin, et al.
Published: (2026)

MetaSel: A Test Selection Approach for Fine-tuned DNN Models
by: Abbasishahkoo, Amin, et al.
Published: (2025)

TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
by: Abbasishahkoo, Amin, et al.
Published: (2023)

DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
by: Aghababaeyan, Zohreh, et al.
Published: (2023)

DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
by: Aghababaeyan, Zohreh, et al.
Published: (2024)

Iterative Assessment and Improvement of DNN Operational Accuracy
by: Guerriero, Antonio, et al.
Published: (2023)

What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs
by: Aich, Abhishek, et al.
Published: (2026)

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems
by: Pan, Rongqi, et al.
Published: (2026)

How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos
by: Lu, Wentao, et al.
Published: (2026)

Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
by: Amini, Mohammad Hossein, et al.
Published: (2025)

Search-based DNN Testing and Retraining with GAN-enhanced Simulations
by: Attaoui, Mohammed Oualid, et al.
Published: (2024)

A Plausibility Study of Using Augmented Reality in the Ventriculoperitoneal Shunt Operations
by: Dorji, Tandin, et al.
Published: (2024)

Towards Assessing Deep Learning Test Input Generators
by: Mzoughi, Seif, et al.
Published: (2025)

Investigating Traffic Accident Detection Using Multimodal Large Language Models
by: Skender, Ilhan, et al.
Published: (2025)

DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation
by: Huang, Xinhao, et al.
Published: (2026)

Cross-Breed Pig Identification Using Auricular Vein Pattern Recognition: A Machine Learning Approach for Small-Scale Farming Applications
by: Nsengiyumvaa, Emmanuel, et al.
Published: (2025)

Pixel Normalization from Numeric Data as Input to Neural Networks
by: Sane, Parth, et al.
Published: (2017)

DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging
by: Khadka, Krishna, et al.
Published: (2026)

ITKIT: Feasible CT Image Analysis based on SimpleITK and MMEngine
by: Zhang, Yiqin, et al.
Published: (2026)

MVOS_HSI: A Python Library for Preprocessing Agricultural Crop Hyperspectral Data
by: Aggarwal, Rishik, et al.
Published: (2026)

CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using Agent
by: Lin, Haojia, et al.
Published: (2025)

GUing: A Mobile GUI Search Engine using a Vision-Language Model
by: Wei, Jialiang, et al.
Published: (2024)

A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks
by: Khalid, Waleed, et al.
Published: (2025)

Ear-Keeper: A Cross-Platform AI System for Rapid and Accurate Ear Disease Diagnosis
by: Lu, Feiyan, et al.
Published: (2023)

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents
by: Meng, Fanqing, et al.
Published: (2026)

Interpretable Gallbladder Ultrasound Diagnosis: A Lightweight Web-Mobile Software Platform with Real-Time XAI
by: Bhoyan, Fuyad Hasan, et al.
Published: (2025)

ARI3D: A Software for Interactive Quantification of Regions in X-Ray CT 3D Images
by: Albrecht, Jan Phillipp, et al.
Published: (2025)

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
by: Livathinos, Nikolaos, et al.
Published: (2025)

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
by: Hong, Danfeng, et al.
Published: (2026)

Can Vision-Language Models Handle Long-Context Code? An Empirical Study on Visual Compression
by: Zhong, Jianping, et al.
Published: (2026)

Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access
by: Fang, Heng, et al.
Published: (2026)

ROMAN: Reward-Orchestrated Multi-Head Attention Network for Autonomous Driving System Testing
by: Chi, Jianlei, et al.
Published: (2026)

SWAN -- Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces
by: Banerjee, Sweta, et al.
Published: (2025)

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting
by: Chen, Yifei, et al.
Published: (2025)

Natural Adversaries: Fuzzing Autonomous Vehicles with Realistic Roadside Object Placements
by: Sun, Yang, et al.
Published: (2024)

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
by: Lambertenghi, Stefano Carlo, et al.
Published: (2025)

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?
by: Lyu, Yunbo, et al.
Published: (2025)

Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing
by: Mzoughi, Seif, et al.
Published: (2025)

TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
by: Lu, You, et al.
Published: (2025)

VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasing
by: Chang, Zhiyuan, et al.
Published: (2024)