Scene Understanding for Autonomous Driving Using Visual Question Answering
Author:
Affiliation:
1. Technical University of Munich,Munich,Germany
2. fortiss GmbH,Munich,Germany
Funder
German Federal Ministry for Economic Affairs and Climate Action
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191714.pdf?arnumber=10191714
Reference30 articles.
1. Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World
2. Textual Explanations for Self-Driving Vehicles
3. Learning Dependency-Based Compositional Semantics
4. Auto QA: The Question Is Not Only What, but Also Where
5. Yin and Yang: Balancing and Answering Binary Visual Questions
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1. Semantic Understanding of Traffic Scenes with Large Vision Language Models;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. The Explainability of Transformers: Current Status and Directions;Computers;2024-04-04
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