Patchdrivenet [2021] [ OFFICIAL ]

: The input image is divided into non-overlapping

We often view progress as a series of "patches"—quick fixes for systemic bugs, temporary bridges across widening digital divides. But what if the patch isn't the fix? What if the patch is the network? patchdrivenet

The world of computer vision and image processing has witnessed significant advancements in recent years, with a plethora of innovative techniques and architectures being proposed to tackle complex tasks such as object detection, segmentation, and image generation. One such approach that has gained considerable attention in the research community is patch-driven design, which involves dividing an image into smaller patches and processing them individually to capture local and global features. In this article, we will explore the concept of patch-driven design and its implementation in a cutting-edge architecture called PatchDrivenet. : The input image is divided into non-overlapping

Search for "Adaptive Patch Drive Networks (arXiv:2401.00001)" for the original implementation and PyTorch source code. The world of computer vision and image processing