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2D Object Detection On Dronevehicle

Metrics

Val/mAP50
test/mAP
test/mAP50

Results

Performance results of various models on this benchmark

Paper Title
CALNet76.4-75.4-
CAGTDet74.6---
C2Former74.242.872.8$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
TSFADet73.1-70.4Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
AR-CNN71.6--Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
CIAN70.2--CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
HalfwayFusion68.2--Multispectral Deep Neural Networks for Pedestrian Detection
UA-CMDet-40.164.0Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
TarDAL-43.372.6Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
GLFNet-42.971.4-
OAFA--79.4Weakly Misalignment-free Adaptive Feature Alignment for UAVs-based Multimodal Object Detection
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2D Object Detection On Dronevehicle | SOTA | HyperAI