Object Detection On Dsec

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mAP

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
CAFR	38.0	Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection
EFNet	30.0	Event-Based Fusion for Motion Deblurring with Cross-modal Attention
RENet	29.4	RGB-Event Fusion for Moving Object Detection in Autonomous Driving
CMX	29.1	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SPNet	27.7	Specificity-preserving RGB-D Saliency Detection
SENet	26.2	Squeeze-and-Excitation Networks
CBAM	26.1	CBAM: Convolutional Block Attention Module
DCF	25.7	Calibrated RGB-D Salient Object Detection
ECANet	25.7	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
FPN-Fusion	24.4	Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions
SAGate	19.6	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
RAMNet	17.6	Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction

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Object Detection On Dsec | SOTA | HyperAI