4 papers
Conformal Predictions for Human Action Recognition with Vision-Language Models
Bary Tim, Fuchs Clément, Macq Benoît
Human-in-the-Loop (HITL) systems are essential in high-stakes, real-world applications where AI must collaborate with human decision-makers. This work investigates how Conformal Pr…
Vocabulary-free few-shot learning for Vision-Language Models
Maxime Zanella, Clément Fuchs, Ismail Ben Ayed +1
Recent advances in few-shot adaptation for Vision-Language Models (VLMs) have greatly expanded their ability to generalize across tasks using only a few labeled examples. However,…
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…