Stride Independent Patching for Deep Learning

arXiv:2610.12216 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Accuracy — 5× in this paper · explained in 1 episode
• Data Augmentation — 4× in this paper · explained in 7 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Aperture — 1× in this paper · explained in 1 episode
• Initial Data — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• Iterative Patch Selection for High-Resolution Image Recognition
• Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
• Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography
• Patch Gradient Descent: Training Neural Networks on Very Large Images
• Toward Optimal Adenovirus Detection Using YOLO26

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