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
• 3
OWLab/Optic-flow-MLP-GELU-15x15
Updated
• 6
OWLab/Optic-flow-MLP-LeakyReLU-15x15
Updated
• 1
OWLab/Optic-flow-MLP-ReLU-15x15
Updated
• 1
OWLab/Optic-flow-CNN-Mish-15x15
Updated
• 4
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
• 1
datasets 6
OWLab/TR360Cloud-Analytic-15x15
Viewer
• Updated
• 12 • 3
OWLab/TestProtocolR-Analytic-15x15
Viewer
• Updated
• 514 • 5
OWLab/TestProtocolT-Analytic-15x15
Viewer
• Updated
• 514 • 5
OWLab/BenHamedR-Analytic-15x15
Viewer
• Updated
• 10k • 5
OWLab/BenHamedT-Analytic-15x15
Viewer
• Updated
• 10k • 5
OWLab/TR360-Analytic-15x15
Viewer
• Updated
• 12.1k • 10