HyperAI초신경

Multispectral Object Detection On Kaist

평가 지표

All Miss Rate

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
All Miss Rate
Paper TitleRepository
CIAN35.53CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
MLPD-MLPD: Multi-Label Pedestrian Detector in Multispectral Domain
IAFR-CNN44.23Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection-
TSFADet30.74Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection-
MSDS-R-CNN34.15Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation
CMPD28.98Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection
AR-CNN34.95Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection-
UniRGB-IR25.21UniRGB-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 31.87Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
FusionRPN+BF51.70Fully Convolutional Networks for Semantic Segmentation
IATDNN+IASS48.96Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection-
RSDet24.79Removal 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
C2former28.39$mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
Halfway Fusion49.18Multispectral Deep Neural Networks for Pedestrian Detection
GAFF-Guided Attentive Feature Fusion for Multispectral Pedestrian Detection
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