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SOTA
Object Detection
Object Detection On Pku Ddd17 Car
Object Detection On Pku Ddd17 Car
평가 지표
mAP50
평가 결과
이 벤치마크에서 각 모델의 성능 결과
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모델 이름
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
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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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