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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Object Detection On Dsec

평가 지표

mAP

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
mAP
Paper TitleRepository
SAGate19.6Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
RENet29.4RGB-Event Fusion for Moving Object Detection in Autonomous Driving
EFNet30.0Event-Based Fusion for Motion Deblurring with Cross-modal Attention
CBAM26.1CBAM: Convolutional Block Attention Module
CAFR38.0Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection
FPN-Fusion24.4Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions-
DCF25.7Calibrated RGB-D Salient Object Detection-
RAMNet17.6Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction
SENet26.2Squeeze-and-Excitation Networks
CMX29.1CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SPNet27.7Specificity-preserving RGB-D Saliency Detection
ECANet25.7ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
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