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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Condensation in deep learning
深度学习 凝结 神经网络
2022/12/8
Why do neural networks (NN) that look so complex usually generalize well? To understand this problem, we find some simple implicit regularizations during training NNs. The first is the frequency princ...
EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/3/30
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING
image matching deep convolutional neural networks auto-encoders cultural heritage
2018/3/30
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fai...
Rice U. scientists slash computations for ‘deep learning’
Rice U. scientists slash computations deep learning
2017/6/1
Rice University computer scientists have adapted a widely used technique for rapid data lookup to slash the amount of computation — and thus energy and time — required for deep learning, a computation...
New tool for virtual and augmented reality uses ‘deep learning’
New tool virtual augmented deep learning
2016/6/22
Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles.I...