As one of the core mission of computer vision, object detection has been widely applied with
the rapid development of computer technology, especially in the fields of face detection …

Over the past few years, target detectors that utilize Convolutional Neural Networks have
gained extensive application in the domain of remote sensing (RS) imagery. Recently …

Feature selection plays an important role during training in object detection and it is
becoming a hotspot these years. Here we present a simple yet effective feature selection …

Purpose Identification of lymph nodes (LNs) that are suspicious for metastasis in T2
Magnetic Resonance Imaging (MRI) is critical for assessment of lymphadenopathy. Prior …

Object detection combines object classification and object localization problems. Current
object detection methods heavily depend on regression networks to locate objects, which …

Accurate and robust pose determination is a key capability for spacecraft proximity
operations in various mission classes such as On Orbit Servicing, Active Debris Removal …

基于无锚点的单阶段全卷积目标检测算法(FCOS) 无需生成大量的锚点避免了样本不**衡问题,
但FCOS 可能更适应于某一特定场景. 为了增**特征融合, 并提高目标检测的准确性 …

Many scenarios such as edge and mobile scenarios are very sensitive to computing
complexity and parameter size. Most object detection models cannot be directly deployed …

Person search aims at matching a target person from a gallery of panorama images. Its
performance depends on the localization accuracy and the recall rate of the pedestrian …

In both 2D and 3D object detection algorithms, the reference boxes obtained by the anchor
mechanism lay the foundation for the next detection tasks of the network. Most of the existing …