313 citations · 381 across the 13 of their papers we have counts for
4 papers · 1 filter
CLIPArTT: Adaptation of CLIP to New Domains at Test Time
Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori +5
Pre-trained vision-language models (VLMs), exemplified by CLIP, demonstrate remarkable adaptability across zero-shot classification tasks without additional training. However, thei…
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri +2
Transductive inference has been widely investigated in few-shot image classification, but completely overlooked in the recent, fast growing literature on adapting vision-langage mo…
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
Yunshi Huang, Fereshteh Shakeri, Jose Dolz +3
In a recent, strongly emergent literature on few-shot CLIP adaptation, Linear Probe (LP) has been often reported as a weak baseline. This has motivated intensive research building…
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation
Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
Despite the significant progress in deep learning for dense visual recognition problems, such as semantic segmentation, traditional methods are constrained by fixed class sets. Mea…