2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie, Andrei Bursuc, Mai Lan Ha +1
This paper examines the robustness of a multi-modal computer vision model, CLIP (Contrastive Language-Image Pretraining), in the context of unsupervised learning. The main objectiv…
cs.CV2021★ 1 cited
Learning a Discriminant Latent Space with Neural Discriminant Analysis
Mai Lan Ha, Gianni Franchi, Emanuel Aldea +1
Discriminative features play an important role in image and object classification and also in other fields of research such as semi-supervised learning, fine-grained classification…
cs.CV2021★ 2 cited
Deep Ranking with Adaptive Margin Triplet Loss
Mai Lan Ha, Volker Blanz
We propose a simple modification from a fixed margin triplet loss to an adaptive margin triplet loss. While the original triplet loss is used widely in classification problems such…