C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0
Dataset

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset

26 April 2017

Aishwarya Agrawal

Aniruddha Kembhavi

Devi Parikh

Papers citing "C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset"

8 / 8 papers shown

Title
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 29 16 0 16 Nov 2023
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models Noriyuki Kojima Hadar Averbuch-Elor Yoav Artzi 21 2 0 06 Sep 2023
COLA: A Benchmark for Compositional Text-to-image Retrieval Arijit Ray Filip Radenovic Abhimanyu Dubey Bryan A. Plummer Ranjay Krishna Kate Saenko CoGe VLM 35 34 0 05 May 2023
A causal view of compositional zero-shot recognition Y. Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 34 117 0 25 Jun 2020
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization S. Ramakrishnan Aishwarya Agrawal Stefan Lee AAML 20 235 0 08 Oct 2018
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi OOD 51 581 0 01 Dec 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 82 3,111 0 02 Dec 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 144 1,464 0 06 Jun 2016