In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …

Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Light microscopy combined with well-established protocols of two-dimensional cell culture
facilitates high-throughput quantitative imaging to study biological phenomena. Accurate …

Tiny object detection (TOD) in aerial images is challenging since a tiny object only contains
a few pixels. State-of-the-art object detectors do not provide satisfactory results on tiny …

Modern CNN-based object detectors assign anchors for ground-truth objects under the
restriction of object-anchor Intersection-over-Unit (IoU). In this study, we propose a learning …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Object detection using an oriented bounding box (OBB) can better target rotated objects by
reducing the overlap with background areas. Existing OBB approaches are mostly built on …

Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild
with arbitrary orientations and cluttered arrangements. Existing approaches are mainly …

Detecting oriented and densely packed objects remains challenging for spatial feature
aliasing caused by the intersection of reception fields between objects. In this paper, we …