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road scene understanding

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TitleStatusHype
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm PerspectivesCode2
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene UnderstandingCode1
RSUD20K: A Dataset for Road Scene Understanding In Autonomous DrivingCode1
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
BlindSpotNet: Seeing Where We Cannot See—0
SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation—0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
DSNet: An Efficient CNN for Road Scene Segmentation—0
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic SegmentationCode0
Affordance Learning In Direct Perception for Autonomous Driving—0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
Auxiliary Tasks in Multi-task LearningCode0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes—0
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding—0
A Continuous Occlusion Model for Road Scene Understanding—0
Fusion Based Holistic Road Scene Understanding—0
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