VideoDemoireing_Model

Simple recursive algorithms. Backtracking algorithms. Divide and conquer algorithms. Dynamic programming algorithms. Greedy algorithms. Branch and bound algorithms. Brute force algorithms. Randomiz…

Approaches based on the convolutional neural network like SRCNN, FSRCNN, and VDSR have some drawbacks. Firstly, CNN approaches need to use interpolation methods to upsample the LR image, such as bi…

The overview of the proposed quantization framework CADyQ for SR network, which we illustrate with a residual block based backbone. For each given patch and each layer, our CADyQ module introduces …

Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Current oriented object detect…

YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.

Therefore, Author propose a classification-free Object Localization Network (OLN) which estimates the objectness of each region purely by how well the location and shape of a region overlap with an…

PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv2, using anchor-free paradigm, more powerful…

Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values. In the context of simulation and embedded computing, it is about approximating real-wor…

SSD is an anchor-bassed version for Object detection