6 citations · 11 across the 11 of their papers we have counts for
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cs.CV2023
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Gregor Geigle, Abhay Jain, Radu Timofte +1
Modular vision-language models (Vision-LLMs) align pretrained image encoders with (frozen) large language models (LLMs) and post-hoc condition LLMs to `understand' the image input.…
cs.CL2023
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Gregor Geigle, Radu Timofte, Goran Glavaš
Vision-and-language (VL) models with separate encoders for each modality (e.g., CLIP) have become the go-to models for zero-shot image classification and image-text retrieval. They…