Efficient Semantic Segmentation Using Multi-Path Decoder
نویسندگان
چکیده
منابع مشابه
Efficient semantic image segmentation with multi-class ranking prior
1077-3142/$ see front matter 2013 Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.cviu.2013.10.005 q This paper has been recommended for acceptance by Nicu Sebe. ⇑ Corresponding authors. Addresses: Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China (F. Sun). Department of Cognitive Science, School of Information Science and Technology, Xiame...
متن کاملEncoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter networks can capture sharper object boundaries by gradual...
متن کاملEnergy Efficient Multi Path Routing Protocol in Internet of Things
Internet of things (IoT) is a network with a wide range of smart and physical objects and gadgets that can exchange information with each other. IOT introduces a variety of services that human life is dependent on its secure and accessible activities. These networks face numerous problems in terms of energy consumption and reliable communication to send the correct data. Moreover, the character...
متن کاملEfficient Multi-Agent Path Planning
Animating goal-driven agents in an environment with obstacles is a time consuming process, particularly when the number of agents is large. In this paper, we introduce an efficient algorithm that creates path plans for objects that move between user defined goal points and avoids collisions. In addition, the system allows “culling” of some of the computation for invisible agents: agents are acc...
متن کاملSemantic Segmentation using GrabCut
This work analyzes how to utilize the power of the popular GrabCut algorithm for the task of pixel-wise labeling of images, which is also known as semantic segmentation and an important step for scene understanding in various application domains. In contrast to the original GrabCut, the aim of the presented methods is to segment objects in images in a completely automatic manner and label them ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10186386