Measuring Progress in Fine-grained Vision-and-Language Understanding

12 May 2023

Papers citing "Measuring Progress in Fine-grained Vision-and-Language Understanding"

7 / 7 papers shown

Title
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? Letitia Parcalabescu Anette Frank MLLM CoGe VLM 82 3 0 29 Apr 2024
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings Olivia Wiles Chuhan Zhang Isabela Albuquerque Ivana Kajić Su Wang ... Jordi Pont-Tuset Aida Nematzadeh Anant Nawalgaria Jordi Pont-Tuset Aida Nematzadeh EGVM 120 13 0 25 Apr 2024
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality Anuj Diwan Layne Berry Eunsol Choi David F. Harwath Kyle Mahowald CoGe 101 41 0 01 Nov 2022
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? Mitja Nikolaus Emmanuelle Salin Stéphane Ayache Abdellah Fourtassi Benoit Favre 11 13 0 21 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 273 1,077 0 17 Feb 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers Lisa Anne Hendricks John F. J. Mellor R. Schneider Jean-Baptiste Alayrac Aida Nematzadeh 75 110 0 31 Jan 2021