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Found 8 papers, 3 papers with code
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks
However, existing methods deal solely with single-polarization images and cannot handle the multi-polarization images captured by modern satellites.
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Training of Generative Adversarial Network (GAN) on a video dataset is a challenge because of the sheer size of the dataset and the complexity of each observation.
ChainerCV: a Library for Deep Learning in Computer Vision
Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner.
Ranked #186 on
Object Detection
on COCO test-dev
Temporal Generative Adversarial Nets with Singular Value Clipping
In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generating videos.
Transformation of Markov Random Fields for Marginal Distribution Estimation
Although downsizing MRFs should directly reduce the computational cost, there is no systematic way of doing this, since it is unclear how to obtain the MRF energy for the downsized MRFs and also how to translate the estimates of their marginal distributions to those of the original MRFs.
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space
In this paper, we show a novel formulation for this continuous-discrete conversion.
