In this paper, we provide the observation that too few queries assigned as positive samples
in DETR with one-to-one set matching leads to sparse supervision on the encoder's output …

Defect detection is to locate and classify the possible defects in an image, which plays a key
role in the quality inspection link in the manufacturing process of industrial products. Defects …

RGB-Infrared multi-modal object detection utilizes diverse and complementary information,
showing some advantages in intelligent transportation field. The main challenge of RGB …

Due to the rapid development of manufacturing capabilities and the general improvement in
requirements for product quality, the role of quality inspection in the industrial production …

Object detection aims to classify interest objects within an image and pinpoint their positions
using predicted rectangular bounding boxes. However, classification and localization tasks …

As one of the most representative detectors, feature pyramid network (FPN) has achieved
remarkable improvement in object detection. Thanks to its distinctive top-down feature fusion …

Object detection has become a crucial technology in intelligent vision systems, enabling
automatic detection of target objects. While most detectors perform well on open datasets …

Object detection in aerial images has always been a challenging task due to the generally
small size of the objects. Most current detectors prioritize novel detection frameworks, often …

Underwater image object detection is one of the core technologies of underwater intelligent
exploration, which is widely used in industrial and military fields. The breakthrough of deep …

Benefitting from the development of pyramidal feature learning, current state-of-the-art multi-
scale detection paradigm has become proficient in detecting objects of varying scales …