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Object Detection On Pku Ddd17 Car

Metrics

mAP50

Results

Performance results of various models on this benchmark

Model Name	mAP50	Paper Title	Repository
ECANet	82.2	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	-
CBAM	81.9	CBAM: Convolutional Block Attention Module	-
DCF	83.4	Calibrated RGB-D Salient Object Detection
CMX	80.4	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers	-
EFNet	83.0	Event-Based Fusion for Motion Deblurring with Cross-modal Attention	-
SAGate	82.0	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation	-
FPN-Fusion	81.9	Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions	-
SSD	73.1	SSD: Single Shot MultiBox Detector	-
SPNet	84.7	Specificity-preserving RGB-D Saliency Detection	-
CAFR	86.7	Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection	-
SENet	81.6	Squeeze-and-Excitation Networks	-
RENet	81.4	RGB-Event Fusion for Moving Object Detection in Autonomous Driving	-
YOLOv4	81.3	YOLOv4: Optimal Speed and Accuracy of Object Detection	-
RAMNet	79.6	Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction	-

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Object Detection On Pku Ddd17 Car | SOTA | HyperAI