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Semantic Segmentation On Fmb Dataset

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
mIoU
Paper TitleRepository
DIDFuse (RGB-Infrared)50.60DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
TarDAL (RGB-Infrared)48.10Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
FEANet (RGB-Infrared)46.80FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
StitchFusion+FFMs (RGB-Infrared)64.32StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
RoadFormer+ (RGB-Infrared)73.1RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion-
MMSFormer (RGB-Infrared)61.70MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
StitchFusion (RGB-Infrared)63.30StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
SegMiF (RGB)50.50Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
MMSFormer (RGB)57.20MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
ReCoNet (RGB-Infrared)50.90ReCoNet: Real-time Coherent Video Style Transfer Network
SHIFNet (RGB-Infrared)67.8Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance
GMNet (RGB-Infrared)49.20GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild-
EGFNet (RGB-Infrared)47.30EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing
SegMiF (RGB-Infrared)54.80Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
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Semantic Segmentation On Fmb Dataset | SOTA | HyperAI초신경