Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
RGB-D and thermal sensor fusion: A systematic literature review
In the last decade, the computer vision field has seen significant progress in multimodal data
fusion and learning, where multiple sensors, including depth, infrared, and visual, are used …
fusion and learning, where multiple sensors, including depth, infrared, and visual, are used …
CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers
Scene understanding based on image segmentation is a crucial component of autonomous
vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting …
vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting …
Delivering arbitrary-modal semantic segmentation
Multimodal fusion can make semantic segmentation more robust. However, fusing an
arbitrary number of modalities remains underexplored. To delve into this problem, we create …
arbitrary number of modalities remains underexplored. To delve into this problem, we create …
Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation
Panoramic images with their 360deg directional view encompass exhaustive information
about the surrounding space, providing a rich foundation for scene understanding. To unfold …
about the surrounding space, providing a rich foundation for scene understanding. To unfold …
Cmda: Cross-modality domain adaptation for nighttime semantic segmentation
Most nighttime semantic segmentation studies are based on domain adaptation approaches
and image input. However, limited by the low dynamic range of conventional cameras …
and image input. However, limited by the low dynamic range of conventional cameras …
Trans4Trans: Efficient transformer for transparent object and semantic scene segmentation in real-world navigation assistance
Transparent objects, such as glass walls and doors, constitute architectural obstacles
hindering the mobility of people with low vision or blindness. For instance, the open space …
hindering the mobility of people with low vision or blindness. For instance, the open space …
Capturing omni-range context for omnidirectional segmentation
Abstract Convolutional Networks (ConvNets) excel at semantic segmentation and have
become a vital component for perception in autonomous driving. Enabling an all …
become a vital component for perception in autonomous driving. Enabling an all …
Polarization-driven semantic segmentation via efficient attention-bridged fusion
Semantic segmentation (SS) is promising for outdoor scene perception in safety-critical
applications like autonomous vehicles, assisted navigation and so on. However, traditional …
applications like autonomous vehicles, assisted navigation and so on. However, traditional …
From slam to situational awareness: Challenges and survey
The capability of a mobile robot to efficiently and safely perform complex missions is limited
by its knowledge of the environment, namely the situation. Advanced reasoning, decision …
by its knowledge of the environment, namely the situation. Advanced reasoning, decision …