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SOTA
多光谱物体检测
Multispectral Object Detection On Kaist
Multispectral Object Detection On Kaist
评估指标
All Miss Rate
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
All Miss Rate
Paper Title
Repository
FusionRPN+BF
51.70
Fully Convolutional Networks for Semantic Segmentation
Halfway Fusion
49.18
Multispectral Deep Neural Networks for Pedestrian Detection
IATDNN+IASS
48.96
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
-
IAFR-CNN
44.23
Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection
-
CIAN
35.53
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
AR-CNN
34.95
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
-
MSDS-R-CNN
34.15
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation
MBNet
31.87
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
TSFADet
30.74
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
-
CMPD
28.98
Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection
-
C2former
28.39
$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
UniRGB-IR
25.21
UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning
RSDet
24.79
Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection
MLPD
-
MLPD: Multi-Label Pedestrian Detector in Multispectral Domain
-
CFR
-
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
INSANet
-
INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection
-
GAFF
-
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection
-
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