ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.12852
  4. Cited By
Beyond VQA: Generating Multi-word Answer and Rationale to Visual
  Questions

Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions

24 October 2020
Radhika Dua
Sai Srinivas Kancheti
V. Balasubramanian
    LRM
ArXivPDFHTML

Papers citing "Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions"

9 / 9 papers shown
Title
Convincing Rationales for Visual Question Answering Reasoning
Convincing Rationales for Visual Question Answering Reasoning
Kun Li
G. Vosselman
Michael Ying Yang
39
1
0
06 Feb 2024
Discovering Spatio-Temporal Rationales for Video Question Answering
Discovering Spatio-Temporal Rationales for Video Question Answering
Yicong Li
Junbin Xiao
Chun Feng
Xiang Wang
Tat-Seng Chua
21
13
0
22 Jul 2023
Towards a Unified Model for Generating Answers and Explanations in
  Visual Question Answering
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering
Chenxi Whitehouse
Tillman Weyde
Pranava Madhyastha
LRM
36
3
0
25 Jan 2023
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with
  Natural Language Explanations
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations
Qian Yang
Yunxin Li
Baotian Hu
Lin Ma
Yuxin Ding
Min Zhang
25
10
0
23 Jul 2022
On Advances in Text Generation from Images Beyond Captioning: A Case
  Study in Self-Rationalization
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
Shruti Palaskar
Akshita Bhagia
Yonatan Bisk
Florian Metze
A. Black
Ana Marasović
18
4
0
24 May 2022
REX: Reasoning-aware and Grounded Explanation
REX: Reasoning-aware and Grounded Explanation
Shi Chen
Qi Zhao
20
18
0
11 Mar 2022
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
23
137
0
17 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
21
100
0
08 May 2021
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
152
1,465
0
06 Jun 2016
1