research
∙
06/16/2023
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
Visual question answering (VQA) is a challenging task that requires the ...
share
research
∙
06/15/2023
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
Current Vision and Language Models (VLMs) demonstrate strong performance...
research
∙
05/12/2023
Measuring Progress in Fine-grained Vision-and-Language Understanding
While pretraining on large-scale image-text data from the Web has facili...
research
∙
10/13/2022
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Large pre-trained models have proved to be remarkable zero- and (prompt-...
research
∙
05/24/2022
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
Vision-and-language (V L) models pretrained on large-scale multimodal ...
research
∙
12/03/2018
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
Advances in Deep Reinforcement Learning have led to agents that perform ...
research
∙
10/08/2018
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Modern Visual Question Answering (VQA) models have been shown to rely he...
research
∙
12/01/2017
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
A number of studies have found that today's Visual Question Answering (V...
research
∙
04/26/2017
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
Visual Question Answering (VQA) has received a lot of attention over the...
research
∙
08/31/2016
Measuring Machine Intelligence Through Visual Question Answering
As machines have become more intelligent, there has been a renewed inter...
research
∙
06/23/2016
Analyzing the Behavior of Visual Question Answering Models
Recently, a number of deep-learning based models have been proposed for ...
research
∙
04/13/2016
Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and ex...
research
∙
04/07/2016
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
We present an approach to simultaneously perform semantic segmentation a...
research
∙
05/03/2015