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An Image-based Approach of Task-driven Driving Scene Categorization
A measure is learned to discriminate the scenes of different semantic attributes via contrastive learning, and a driving scene profiling and categorization method is developed based on that measure.
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning
With a set of human-annotated anchor patches, a feature representation is learned to discriminate regions with different traversability, a method of fine-grained semantic segmentation and mapping is subsequently developed for off-road scene understanding.
Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
A method is proposed to solve the problem via modeling dynamic correlation using latent space shared auto-encoders.
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