527 citations · 1.4k across the 70 of their papers we have counts for
11 papers · 2 filters
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging
Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori +5
Test-time adaptation (TTA) is crucial for mitigating performance degradation caused by distribution shifts in 3D point cloud classification. In this work, we introduce Token Purgin…
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Adolfo Vargas Hakim +7
State Space Models (SSMs) have emerged as efficient alternatives to Vision Transformers (ViTs), with VMamba standing out as a pioneering architecture designed for vision tasks. How…
Language-Aware Information Maximization for Transductive Few-Shot CLIP
Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed
Transductive few-shot learning has triggered an abundant literature focusing on vision-only models, but is still at a nascent stage within the recent context of foundational vision…
Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
Medical vision-language models (VLMs) have demonstrated unprecedented transfer capabilities and are being increasingly adopted for data-efficient image classification. Despite its…
Full Conformal Adaptation of Medical Vision-Language Models
Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède +4
Vision-language models (VLMs) pre-trained at large scale have shown unprecedented transferability capabilities and are being progressively integrated into medical image analysis. A…
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,…