HyperAI
Home
News
Latest Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
English
HyperAI
Toggle sidebar
Search the site…
⌘
K
Home
SOTA
Object Detection
Object Detection On Dsec
Object Detection On Dsec
Metrics
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
Paper Title
Repository
SAGate
19.6
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
RENet
29.4
RGB-Event Fusion for Moving Object Detection in Autonomous Driving
EFNet
30.0
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
CBAM
26.1
CBAM: Convolutional Block Attention Module
CAFR
38.0
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection
FPN-Fusion
24.4
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions
-
DCF
25.7
Calibrated RGB-D Salient Object Detection
RAMNet
17.6
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction
SENet
26.2
Squeeze-and-Excitation Networks
CMX
29.1
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SPNet
27.7
Specificity-preserving RGB-D Saliency Detection
ECANet
25.7
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
0 of 12 row(s) selected.
Previous
Next