Monocular VO Based on Deep Siamese Convolutional Neural Network
نویسندگان
چکیده
منابع مشابه
Video retrieval based on deep convolutional neural network
Recently, with the enormous growth of online videos, fast video retrieval research has received increasing attention. As an extension of image hashing techniques, traditional video hashing methods mainly depend on hand-crafted features and transform the realvalued features into binary hash codes. As videos provide far more diverse and complex visual information than images, extracting features ...
متن کاملSome Improvements on Deep Convolutional Neural Network Based Image Classification
We investigate multiple techniques to improve upon the current state of the art deep convolutional neural network based image classification pipeline. The techniques include adding more image transformations to the training data, adding more transformations to generate additional predictions at test time and using complementary models applied to higher resolution images. This paper summarizes o...
متن کاملPolSAR Image Classification Based on Deep Convolutional Neural Network
For introducing the advantages of feature learning and multilayer network in the interpretation of Polarimetric synthetic aperture radar (PolSAR) image, a classification algorithm based on deep convolutional neural network is proposed, and is used for PolSAR image classification. Firstly, a special convolutional neural network (CNN) for PolSAR image is constructed, secondly, a large number of P...
متن کاملInvariant Descriptor Learning Using a Siamese Convolutional Neural Network
In this paper we describe learning of a descriptor based on the Siamese Convolutional Neural Network (CNN) architecture and evaluate our results on a standard patch comparison dataset. The descriptor learning architecture is composed of an input module, a Siamese CNN descriptor module and a cost computation module that is based on the L2 Norm. The cost function we use pulls the descriptors of m...
متن کاملDeep Columnar Convolutional Neural Network
Recent developments in the field of deep learning have shown that convolutional networks with several layers can approach human level accuracy in tasks such as handwritten digit classification and object recognition. It is observed that the state-of-the-art performance is obtained from model ensembles, where several models are trained on the same data and their predictions probabilities are ave...
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: Complexity
سال: 2020
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2020/6367273