HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Multispectral Object Detection
Multispectral Object Detection On Kaist
Multispectral Object Detection On Kaist
Metriken
All Miss Rate
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
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
0 of 17 row(s) selected.
Previous
Next