Thermal Image Segmentation
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Benchmarks
MFN Dataset
PST900
RGB-T-Glass-Segmentation
Noisy RS RGB-T Dataset
KP day-night
SCUT-Seg Dataset
SODA Dataset
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Rethinking Atrous Convolution for Semantic Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Pyramid Scene Parsing Network
Fully Convolutional Networks for Semantic Segmentation
Papers
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation
In autonomous driving, thermal image semantic segmentation has emerged as a critical research area, owing to its ability to provide robust scene understanding under adverse visual conditions. In particular, unsupervised …
Autonomous DrivingDomain AdaptationImage SegmentationScene Understanding+4Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
The perception capability of robotic systems relies on the richness of the dataset. Although Segment Anything Model 2 (SAM2), trained on large datasets, demonstrates strong perception potential in perception tasks, its i…
DecoderSemantic SegmentationThermal Image SegmentationStitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
Multimodal semantic segmentation shows significant potential for enhancing segmentation accuracy in complex scenes. However, current methods often incorporate specialized feature fusion modules tailored to specific modal…
SegmentationSemantic SegmentationThermal Image SegmentationRoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
Task-specific data-fusion networks have marked considerable achievements in urban scene parsing. Among these networks, our recently proposed RoadFormer successfully extracts heterogeneous features from RGB images and sur…
Scene ParsingSemantic SegmentationThermal Image SegmentationCSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes
Semantic segmentation, as a crucial component of complex visual interpretation, plays a fundamental role in autonomous vehicle vision systems. Recent studies have significantly improved the accuracy of semantic segmentat…
Autonomous VehiclesImage SegmentationReal-Time Semantic SegmentationRGBD Semantic Segmentation+4UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning
Semantic analysis on visible (RGB) and infrared (IR) images has gained attention for its ability to be more accurate and robust under low-illumination and complex weather conditions. Due to the lack of pre-trained founda…
Multispectral Object DetectionPedestrian DetectionThermal Image Segmentation