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most citedFrustratingly Easy Test-Time Adaptation of Vision-Language Models

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2024★ 1 cited

Frustratingly Easy Test-Time Adaptation of Vision-Language Models

Matteo Farina, Gianni Franchi, Giovanni Iacca +2

Vision-Language Models seamlessly discriminate among arbitrary semantic categories, yet they still suffer from poor generalization when presented with challenging examples. For thi…

cs.CV2024

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning

Matteo Farina, Massimiliano Mancini, Elia Cunegatti +3

While excellent in transfer learning, Vision-Language models (VLMs) come with high computational costs due to their large number of parameters. To address this issue, removing para…