Places: An Image Database for Deep Scene Understanding
نویسندگان
چکیده
منابع مشابه
Places: An Image Database for Deep Scene Understanding
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach nearhuman semantic classification at tasks such as object and scene recognition. Here we describe the Places Database, a repository of 10 million scene photographs, labeled with scene semantic categories and attributes, comprising a quasi-exhaustive list of the types of environments e...
متن کاملLearning Deep Features for Scene Recognition using Places Database
Scene recognition is one of the hallmark tasks of computer vision, allowing definition of a context for object recognition. Whereas the tremendous recent progress in object recognition tasks is due to the availability of large datasets like ImageNet and the rise of Convolutional Neural Networks (CNNs) for learning high-level features, performance at scene recognition has not attained the same l...
متن کاملPlaces: A 10 million Image Database for Scene Recognition.
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification performance at tasks such as visual object and scene recognition. Here we describe the Places Database, a repository of 10 million scene photographs, labeled with scene semantic categories, comprising a large and diverse list of the types of environm...
متن کاملDeep Retinal Image Understanding
This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation. We make use of deep Convolutional Neural Networks (CNNs), which have proven revolutionary in other fields of computer vision such as object detection and image classification, and we bring their power to the study of eye fundus...
متن کاملImage Segmentation and Scene Understanding Project
1. Introduction Scene or image understanding deals with the problem of making a computer " understand " the world behind the image. This can be done in a number of different ways. In this project, we will deal with a kind of problem of scene understanding, semantic image segmentation or pixel labeling. Multi-class image segmentation or pixel labeling does more than the task of object recognitio...
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: Journal of Vision
سال: 2017
ISSN: 1534-7362
DOI: 10.1167/17.10.296