SOTAVerified

Meter Reading

Papers

Showing 19 of 9 papers

TitleStatusHype
Appliance Detection Using Very Low-Frequency Smart Meter Time SeriesCode1
Image-based Automatic Dial Meter Reading in Unconstrained ScenariosCode1
NRC-GAMMA: Introducing a Novel Large Gas Meter Image DatasetCode1
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach0
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines0
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning0
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems0
Convolutional Neural Networks for Automatic Meter Reading0
Image Type Water Meter Character Recognition Based on Embedded DSP0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Faster-RCNN (ResNeXt-101)Rank-1 Recognition Rate75.25Unverified
2YOLOv3 (608 x 608)Rank-1 Recognition Rate74.75Unverified
3YOLOv3 (416 x 416)Rank-1 Recognition Rate73.75Unverified
4Faster-RCNN (ResNet-50)Rank-1 Recognition Rate72.25Unverified
5Faster-RCNN (ResNet-101)Rank-1 Recognition Rate71.75Unverified
6YOLOv2 (608 x 608)Rank-1 Recognition Rate71.25Unverified
7YOLOv2 (416 x 416)Rank-1 Recognition Rate68Unverified
8Fast-YOLOv3 (608 x 608)Rank-1 Recognition Rate54.25Unverified
9Fast-YOLOv2 (608 x 608)Rank-1 Recognition Rate51.75Unverified
10Fast-YOLOv3 (416 x 416)Rank-1 Recognition Rate47.75Unverified