VQA-LOL: Visual Question Answering under the Lens of Logic

VQA-LOL: Visual Question Answering under the Lens of Logic

19 February 2020

Pratyay Banerjee

Yezhou Yang

Papers citing "VQA-LOL: Visual Question Answering under the Lens of Logic"

8 / 8 papers shown

Title
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement Zaid Khan B. Vijaykumar S. Schulter Yun Fu Manmohan Chandraker LRM ReLM 26 6 0 06 Apr 2024
Benchmarking Spatial Relationships in Text-to-Image Generation Tejas Gokhale Hamid Palangi Besmira Nushi Vibhav Vineet Eric Horvitz Ece Kamar Chitta Baral Yezhou Yang EGVM 30 66 0 20 Dec 2022
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation Abhilasha Ravichander Matt Gardner Ana Marasović 22 33 0 01 Nov 2022
Consistency-preserving Visual Question Answering in Medical Imaging Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman MedIm 12 12 0 27 Jun 2022
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering Jianjian Cao Xiameng Qin Sanyuan Zhao Jianbing Shen 23 20 0 14 Dec 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering Jihyung Kil Cheng Zhang D. Xuan Wei-Lun Chao 53 20 0 13 Sep 2021
Compressing Visual-linguistic Model via Knowledge Distillation Zhiyuan Fang Jianfeng Wang Xiaowei Hu Lijuan Wang Yezhou Yang Zicheng Liu VLM 23 96 0 05 Apr 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 926 0 24 Sep 2019