Image visual try-on aims at transferring a target clothes image onto a reference person, and
has become a hot topic in recent years. Prior arts usually focus on preserving the character …

Emergence of large datasets and resilience of convolutional models have enabled
successful training of very large semantic segmentation models. However, high capacity …

Semantic segmentation is a challenging task which requires both solid unanimous global
context and rich spatial information. Recent methods ignore adaptively capturing of valid …

In this paper, a novel joint loss Generative Adversarial Networks (GAN) framework is
proposed for thermography nondestructive testing named Defect-Detection Network …

Aggregating multi-level feature representation plays a critical role in achieving robust
volumetric medical image segmentation, which is important for the auxiliary diagnosis and …

Semantic image parsing, which refers to the process of decomposing images into semantic
regions and constructing the structure representation of the input, has recently aroused …

This paper presents a novel method that combines coupled hidden Markov models (HMM)
and non-Gaussian mixture models based on independent component analyzer mixture …

Normalization techniques are important in different advanced neural networks and different
tasks. This work investigates a novel dynamic learning-to-normalize (L2N) problem by …

Human can naturally understand scenes in depth with the help of various knowledge
accumulated and by a comprehensive visual concept organization including category labels …

This work proposes a novel Class Aware Network (CANet) for analyzing football player
performance by decoding their body movements. Firstly, the role of the Internet of Things in …