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SotA/Computer Vision/Multispectral Object Detection/KAIST Multispectral Pedestrian Detection Benchmark

Multispectral Object Detection on KAIST Multispectral Pedestrian Detection Benchmark

Metric: All Miss Rate (higher is better)

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#Model↕All Miss Rate▼Extra DataPaperDate↕Code
1FusionRPN+BF51.7NoFully Convolutional Networks for Semantic Segmen...2014-11-14Code
2Halfway Fusion49.18NoMultispectral Deep Neural Networks for Pedestria...2016-11-08Code
3IATDNN+IASS48.96NoFusion of Multispectral Data Through Illuminatio...2018-02-27-
4IAFR-CNN44.23NoIllumination-aware Faster R-CNN for Robust Multi...2018-03-14-
5CIAN35.53NoCIAN: Cross-Image Affinity Net for Weakly Superv...2018-11-27Code
6AR-CNN34.95NoWeakly Aligned Cross-Modal Learning for Multispe...2019-01-09-
7MSDS-R-CNN34.15NoMultispectral Pedestrian Detection via Simultane...2018-08-14Code
8MBNet31.87NoImproving Multispectral Pedestrian Detection by ...2020-08-07Code
9TSFADet30.74NoTranslation, Scale and Rotation: Cross-Modal Ali...2022-09-28-
10CMPD28.98No--Code
11MLPD28.49No--Code
12C2former28.39No$\mathbf{C}^2$Former: Calibrated and Complementa...2023-06-28Code
13INSANet26.08No--Code
14UniRGB-IR25.21NoUniRGB-IR: A Unified Framework for RGB-Infrared ...2024-04-26Code
15RSDet24.79NoRemoval then Selection: A Coarse-to-Fine Fusion ...2024-01-19Code