In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …

We show that the YOLOv4 object detection neural network based on the CSP approach,
scales both up and down and is applicable to small and large networks while maintaining …

Surface defect detection of products is an important process to guarantee the quality of
industrial production. A defect detection task aims to identify the specific category and …

Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

Many modern object detectors demonstrate outstanding performances by using the
mechanism of looking and thinking twice. In this paper, we explore this mechanism in the …

In today's world, computer vision technology has become a very important direction in the
field of Internet applications. As one of the basic problems of computer vision, object …

The visual feature pyramid has shown its superiority in both effectiveness and efficiency in a
variety of applications. However, current methods overly focus on inter-layer feature …

Single-stage instance segmentation approaches have recently gained popularity due to
their speed and simplicity, but are still lagging behind in accuracy, compared to two-stage …

Object localization in general environments is a fundamental part of vision systems. While
dominating on the COCO benchmark, recent Transformer-based detection methods are not …

We propose a novel end-to-end learning-based approach for single image defocus
deblurring. The proposed approach is equipped with a novel Iterative Filter Adaptive …