AbstractVideo semantic segmentation has achieved great progress under the supervision of large amounts labelled training data. However, domain adaptive video segmentation, which can mitigate data labelling constraints by adapting from a source toward an unlabelled target domain, is largely neglected. We design temporal pseudo (TPS), simple and effective method that explores idea consistency for...

in this paper, we deal with the problem of clutter and direct signal (c&ds;) cancelation in the target detection of tv-based passive radars. we first consider the target detection using the conventional fft method. we see that for increasing the maximum range of passive radar, we must cancel the c&ds; from the received signal. hence, we investigate some important methods for c&ds; cancelation i...

The automatic segmentation of the mouth from its facial background is a very difficult computer vision problem due to the low grayscale distinction between classes. Recently chromatic based segmentation has enjoyed some popularity for the purposes of mouth tracking due to its ability to distinguish between the two classes. Such systems have to be highly adaptive due to problems with colour cons...

An automatic speech segmentation technique is presented that is based on the alignment of a target speech signal with a set of different reference speech signals generated by a specific designed corpus-based speech synthesis system that additionally generates phoneme boundary markers. Each reference signal is then warped to the target speech signal. By synthesizing and warping many different re...

Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversify images source domain by adding complex or even abnormal textures reduce sensitivity domain-specific However, these approaches depends heavily richness of texture bank and training them can be time-consuming. In cont...

Image segmentation is the most practical approach among all virtually automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. This paper deals with different image segmentation algorithms. The quality of satellite image is affected by atmosphere, temperature etc. ...