Co-occurring keywords · papers mentioning both
Papers
VQA With No Questions-Answers Training
CVPR 2020
X-Linear Attention Networks for Image Captioning
CVPR 2020
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
EMNLP 2020
Actively Seeking and Learning From Live Data
CVPR 2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
NAACL 2019
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
NeurIPS 2019
A Novel Framework for Robustness Analysis of Visual QA Models
AAAI 2019
Answer Them All! Toward Universal Visual Question Answering Models
CVPR 2019
Audio Visual Scene-Aware Dialog
CVPR 2019
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
AAAI 2019
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
AAAI 2019
Compact Trilinear Interaction for Visual Question Answering
ICCV 2019
Cycle-Consistency for Robust Visual Question Answering
CVPR 2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
EMNLP 2019
Deep Modular Co-Attention Networks for Visual Question Answering
CVPR 2019
Densely Connected Attention Flow for Visual Question Answering
IJCAI 2019
Differential Networks for Visual Question Answering
AAAI 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
EMNLP 2019
Dynamic Capsule Attention for Visual Question Answering
AAAI 2019
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering
CVPR 2019
Explicit Bias Discovery in Visual Question Answering Models
CVPR 2019
Faithful Multimodal Explanation for Visual Question Answering
ACL 2019
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning
AAAI 2019
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason
ICCV 2019
Fusion of Detected Objects in Text for Visual Question Answering
EMNLP 2019