Thermal Image Segmentation On Rgb T Glass

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このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
DPANet	0.154	DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
CoNet	0.145	Accurate RGB-D Salient Object Detection via Collaborative Learning
EBLNet	0.104	Enhanced Boundary Learning for Glass-like Object Segmentation
ATSA	0.098	Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection
SSF	0.097	Select, Supplement and Focus for RGB-D Saliency Detection
Segmenter	0.072	Segmenter: Transformer for Semantic Segmentation
UCNet	0.071	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
DANet	0.069	A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
RTFNet	0.058	RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
DCFNet	0.056	Calibrated RGB-D Salient Object Detection
ShapeConv	0.054	ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
SegFormer	0.053	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
UTA	0.052	RGB-D Salient Object Detection with Ubiquitous Target Awareness
HDFNet	0.048	Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
RD3D	0.045	RGB-D Salient Object Detection via 3D Convolutional Neural Networks
VST	0.044	Visual Saliency Transformer
SPNet	0.041	Specificity-preserving RGB-D Saliency Detection
CLNet	0.041	RGB-D Saliency Detection via Cascaded Mutual Information Minimization
EBS	0.040	Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
ESANet	0.040	Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

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Thermal Image Segmentation On Rgb T Glass

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評価結果