SOTAVerified

Defocus Estimation

Papers

Showing 18 of 8 papers

TitleStatusHype
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus EstimationCode0
Deep Defocus Map Estimation Using Domain AdaptationCode0
Multi-task Learning for Monocular Depth and Defocus Estimations with Real ImagesCode0
Single image deep defocus estimation and its applicationsCode0
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features0
Convergence Analysis of MAP based Blur Kernel Estimation0
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network0
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DMENet (BDCS)Blur Segmentation Accuracy87.35Unverified
2DHDEBlur Segmentation Accuracy83.73Unverified
3DeFusionNetMAE0.12Unverified
4BTBNet (3S + FNet + RRNet)MAE0.11Unverified
5CENetMAE0.06Unverified