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…