Rethinking Deep CNN Training: A Novel Approach for Quality-Aware Dataset Optimization
- Department of Remote Sensing Information Technologies, Karpenko Physico-Mechanical Institute, NAS of Ukraine, Lviv, Ukraine
- Advanced Systems Research Group, Infineon Technologies, Lviv, Ukraine
- Department of Computers and Informatics, Technical University of Kosice, Koš,ice, Slovakia
Not Available
- Sponsoring Organization:
- USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
- OSTI ID:
- 2449663
- Journal Information:
- IEEE Access, Journal Name: IEEE Access Vol. 12; ISSN 2169-3536
- Publisher:
- Institute of Electrical and Electronics EngineersCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System
Understanding trained CNNs by indexing neuron selectivity
PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets
Journal Article
·
2019
· Frontiers in Neuroscience (Online)
·
OSTI ID:2375413
+2 more
Understanding trained CNNs by indexing neuron selectivity
Journal Article
·
2020
· Pattern Recognition Letters
·
OSTI ID:1692083
+1 more
PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets
Journal Article
·
2021
· Optics Express
·
OSTI ID:1839044
+4 more