Image segmentation, which has become a research hotspot in the field of image processing
and computer vision, refers to the process of dividing an image into meaningful and non …

X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

With the rise of deep convolutional neural networks, object detection has achieved
prominent advances in past years. However, such prosperity could not camouflage the …

Dynamic neural network is an emerging research topic in deep learning. Compared to static
models which have fixed computational graphs and parameters at the inference stage …

Convolution has been the core ingredient of modern neural networks, triggering the surge of
deep learning in vision. In this work, we rethink the inherent principles of standard …

Abstract We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …

Recent advances in detecting arbitrary objects in the real world are trained and evaluated
on object detection datasets with a relatively restricted vocabulary. To facilitate the …

Instance segmentation has witnessed a remarkable progress on class-balanced
benchmarks. However, they fail to perform as accurately in real-world scenarios, where the …

Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant
marine mission. It plays an important role in marine traffic control, marine fishery …