Boosting Memory with a Persistent Memory Mechanism for Remote Sensing Image Captioning
نویسندگان
چکیده
منابع مشابه
Multimodal Memory Modelling for Video Captioning
Video captioning which automatically translates video clips into natural language sentences is a very important task in computer vision. By virtue of recent deep learning technologies, e.g., convolutional neural networks (CNNs) and recurrent neural networks (RNNs), video captioning has made great progress. However, learning an effective mapping from visual sequence space to language space is st...
متن کاملBoosting HMM performance with a memory upgrade
The state-of-the-art in automatic speech recognition is distinctly Markovian. The ubiquitous ‘beads-on-a-string’ approach, where sentences are explained as a sequence of words, words as a sequence of phones and phones as a sequence of acoustically stable states, is bound to lose a lot of dynamic information. In this paper we show that a combination with example-based recognition can be used to ...
متن کاملPersistent modifications of hippocampal synaptic function during remote spatial memory.
A widely accepted notion for a process underlying memory formation is that learning changes the efficacy of synapses by the mechanism of synaptic plasticity. While there is compelling evidence of changes in synaptic efficacy observed after learning, demonstration of persistent synaptic changes accompanying memory has been elusive. We report that acquisition of a hippocampus and long-term potent...
متن کاملA MODIFIED STEFFENSEN'S METHOD WITH MEMORY FOR NONLINEAR EQUATIONS
In this note, we propose a modification of Steffensen's method with some free parameters. These parameters are then be used for further acceleration via the concept of with memorization. In this way, we derive a fast Steffensen-type method with memory for solving nonlinear equations. Numerical results are also given to support the underlying theory of the article.
متن کاملA new iterative with memory class for solving nonlinear equations
In this work we develop a new optimal without memory class for approximating a simple root of a nonlinear equation. This class includes three parameters. Therefore, we try to derive some with memory methods so that the convergence order increases as high as possible. Some numerical examples are also presented.
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: Remote Sensing
سال: 2020
ISSN: 2072-4292
DOI: 10.3390/rs12111874