Multispectral Object Detection On Kaist

Metrics

All Miss Rate

Results

Performance results of various models on this benchmark

		Paper Title
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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Multispectral Object Detection On Kaist | SOTA | HyperAI