18 citations · 21 across the 14 of their papers we have counts for
3 papers · 1 filter
Source-Free Domain Adaptation for YOLO Object Detection
Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli +1
Source-free domain adaptation (SFDA) is a challenging problem in object detection, where a pre-trained source model is adapted to a new target domain without using any source domai…
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
Louis Fournier, Adel Nabli, Masih Aminbeidokhti +3
The performance of deep neural networks is enhanced by ensemble methods, which average the output of several models. However, this comes at an increased cost at inference. Weight a…
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Guerrero Pena +3
A common practice in deep learning involves training large neural networks on massive datasets to achieve high accuracy across various domains and tasks. While this approach works…