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홈
SOTA
Multispectral Object Detection
Multispectral Object Detection On Kaist
Multispectral Object Detection On Kaist
평가 지표
All Miss Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
All Miss Rate
Paper Title
Repository
CIAN
35.53
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
MLPD
-
MLPD: Multi-Label Pedestrian Detector in Multispectral Domain
IAFR-CNN
44.23
Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection
-
TSFADet
30.74
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
-
MSDS-R-CNN
34.15
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation
CMPD
28.98
Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection
AR-CNN
34.95
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
-
UniRGB-IR
25.21
UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning
CFR
-
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
MBNet
31.87
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
FusionRPN+BF
51.70
Fully Convolutional Networks for Semantic Segmentation
IATDNN+IASS
48.96
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
-
RSDet
24.79
Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection
INSANet
-
INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection
C2former
28.39
$mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
Halfway Fusion
49.18
Multispectral Deep Neural Networks for Pedestrian Detection
GAFF
-
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection
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