Patchdrivenet

PatchDriveNet appears to refer to a specific intersection of patch-based deep learning and the DriveNet architecture, primarily discussed in the context of securing autonomous vehicle control systems against adversarial attacks.

Step 3: Patch Extraction & Scheduling (The "Drive")

Here is where the "Drive" in PatchDriveNet manifests. Instead of processing all patches, the Patch Drive Controller extracts the top-K highest-saliency locations. For each location, it extracts a high-resolution patch (e.g., 512x512 from the original 2048x2048 image). patchdrivenet

Introduction

By exploring these future directions, researchers and practitioners can continue to advance the state-of-the-art in image processing and unlock new applications and use cases for Patch-Driven Networks. PatchDriveNet appears to refer to a specific intersection

Training Considerations for PatchDriveNet

Training PatchDriveNet is non-trivial because the patch selection (argmax of saliency) is non-differentiable. The authors of the original paper (Adaptive Patch Drive Networks, 2024) recommend two solutions: For each location, it extracts a high-resolution patch (e