1 citations · 1 across the 4 of their papers we have counts for
4 papers
Online Gaussian Test-Time Adaptation of Vision-Language Models
Clément Fuchs, Maxime Zanella, Christophe De Vleeschouwer
Online test-time adaptation (OTTA) of vision-language models (VLMs) has recently garnered increased attention to take advantage of data observed along a stream to improve future pr…
Realistic Test-Time Adaptation of Vision-Language Models
Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer +1
The zero-shot capabilities of Vision-Language Models (VLMs) have been widely leveraged to improve predictive performance. However, previous works on transductive or test-time adapt…
Boosting Vision-Language Models for Histopathology Classification: Predict all at once
Maxime Zanella, Fereshteh Shakeri, Yunshi Huang +2
The development of vision-language models (VLMs) for histo-pathology has shown promising new usages and zero-shot performances. However, current approaches, which decompose large s…
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Maxime Zanella, Ismail Ben Ayed
The development of large vision-language models, notably CLIP, has catalyzed research into effective adaptation techniques, with a particular focus on soft prompt tuning. Conjointl…