RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
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 …
Explicit attention-enhanced fusion for RGB-thermal perception tasks
Recently, RGB-Thermal based perception has shown significant advances. Thermal
information provides useful clues when visual cameras suffer from poor lighting conditions …
information provides useful clues when visual cameras suffer from poor lighting conditions …
Deep depth estimation from thermal image
Robust and accurate geometric understanding against adverse weather conditions is one
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …
Caltech aerial rgb-thermal dataset in the wild
We present the first publicly-available RGB-thermal dataset designed for aerial robotics
operating in natural environments. Our dataset captures a variety of terrain across the United …
operating in natural environments. Our dataset captures a variety of terrain across the United …
CEKD: Cross-modal edge-privileged knowledge distillation for semantic scene understanding using only thermal images
Semantic scene understanding using thermal images has received great attention due to the
advantage that thermal imaging cameras could see in challenging illumination conditions …
advantage that thermal imaging cameras could see in challenging illumination conditions …
Dual-space graph-based interaction network for RGB-thermal semantic segmentation in electric power scene
C Xu, Q Li, X Jiang, D Yu, Y Zhou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Real-time scene comprehension is the basis for automatic electric power inspection.
However, existing RGB-based scene comprehension methods may achieve unsatisfied …
However, existing RGB-based scene comprehension methods may achieve unsatisfied …
Self-supervised monocular depth estimation from thermal images via adversarial multi-spectral adaptation
Recently, thermal image based 3D understanding is gradually attracting attention for an
illumination condition agnostic machine vision. However, the difficulty of the thermal image …
illumination condition agnostic machine vision. However, the difficulty of the thermal image …
Complementary random masking for RGB-thermal semantic segmentation
RGB-thermal semantic segmentation is one potential solution to achieve reliable semantic
scene understanding in adverse weather and lighting conditions. However, the previous …
scene understanding in adverse weather and lighting conditions. However, the previous …
Unsupervised rgb-to-thermal domain adaptation via multi-domain attention network
This work presents a new method for unsupervised thermal image classification and
semantic segmentation by transferring knowledge from the RGB domain using a multi …
semantic segmentation by transferring knowledge from the RGB domain using a multi …