What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

5 May 2022

Papers citing "What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning"

4 / 4 papers shown

Title
Visual Instruction Tuning with Polite Flamingo Delong Chen Jianfeng Liu Wenliang Dai Baoyuan Wang MLLM 34 42 0 03 Jul 2023
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations Björn Plüster Jakob Ambsdorf Lukas Braach Jae Hee Lee S. Wermter 25 6 0 08 Dec 2022
Neuro-Symbolic Spatio-Temporal Reasoning Pascal Hitzler Michael Sioutis Md Kamruzzaman Sarker Marjan Alirezaie Aaron Eberhart Stefan Wermter NAI 28 0 0 28 Nov 2022
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning Kyra Ahrens Matthias Kerzel Jae Hee Lee C. Weber S. Wermter 14 0 0 06 Jul 2022