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20222025
most citedOpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

71 citations · 90 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits

Ron Yosef, Moran Yanuka, Yonatan Bitton +1

Text-guided image editing, fueled by recent advancements in generative AI, is becoming increasingly widespread. This trend highlights the need for a comprehensive framework to veri…

cs.CV202413 cited

PaliGemma 2: A Family of Versatile VLMs for Transfer

Andreas Steiner, André Susano Pinto, Michael Tschannen +15

PaliGemma 2 is an upgrade of the PaliGemma open Vision-Language Model (VLM) based on the Gemma 2 family of language models. We combine the SigLIP-So400m vision encoder that was als…

cs.CV2024

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

Orr Zohar, Xiaohan Wang, Yonatan Bitton +2

The performance of Large Vision Language Models (LVLMs) is dependent on the size and quality of their training datasets. Existing video instruction tuning datasets lack diversity a…

cs.CV2023

VideoCon: Robust Video-Language Alignment via Contrast Captions

Hritik Bansal, Yonatan Bitton, Idan Szpektor +2

Despite being (pre)trained on a massive amount of data, state-of-the-art video-language alignment models are not robust to semantically-plausible contrastive changes in the video c…

cs.CV202371 cited

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Anas Awadalla, Irena Gao, Josh Gardner +13

We introduce OpenFlamingo, a family of autoregressive vision-language models ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce an open-source replicati…