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cs.CV2026
A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs
Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand
Maintaining or improving the performance of Deep Neural Networks (DNNs) through fine-tuning requires labeling newly collected inputs, a process that is often costly and time-consum…
cs.CV2024★ 1 cited
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand +1
Deep Neural Networks (DNNs) are increasingly deployed across applications. However, ensuring their reliability remains a challenge, and in many situations, alternative models with…