CNNs and MLPs trained on ~6k 15x15 optic flow patterns generated by uniformly sampled combinations of translation (T) and rotation (R).
Oliver Layton
OWLab
AI & ML interests
Optic flow, motion, self-motion, deep learning, neural networks
Organizations
models
15
OWLab/Optic-flow-MLP-Mish-15x15
Updated
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1
OWLab/Optic-flow-MLP-GELU-15x15
Updated
OWLab/Optic-flow-MLP-LeakyReLU-15x15
Updated
OWLab/Optic-flow-MLP-ReLU-15x15
Updated
OWLab/Optic-flow-CNN-Mish-15x15
Updated
OWLab/Optic-flow-CNN-GELU-15x15
Updated
OWLab/Optic-flow-CNN-LeakyReLU-15x15
Updated
OWLab/Optic-flow-CNN-ReLU-15x15
Updated
OWLab/Optic-flow-NNMF-15x15
Updated
OWLab/Optic-flow-CNN-L1PlusPlus-15x15
Updated
datasets
6
OWLab/TR360Cloud-Analytic-15x15
Viewer
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Updated
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12
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8
OWLab/TestProtocolR-Analytic-15x15
Viewer
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Updated
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514
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6
OWLab/TestProtocolT-Analytic-15x15
Viewer
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Updated
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514
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3
OWLab/BenHamedR-Analytic-15x15
Viewer
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Updated
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10k
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2
OWLab/BenHamedT-Analytic-15x15
Viewer
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Updated
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10k
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2
OWLab/TR360-Analytic-15x15
Viewer
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Updated
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12.1k
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2