Optimizing Visual Question Answering Models for Driving: Bridging the
Gap Between Human and Machine Attention Patterns
Work
Year: 2024
Type: preprint
Abstract: Visual Question Answering (VQA) models play a critical role in enhancing the perception capabilities of autonomous driving systems by allowing vehicles to analyze visual inputs alongside textual queri... more
Source: arXiv (Cornell University)
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Cited by:
Related to: 10
Citation percentile (by year/subfield):
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green