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10/20/2021
Semi-supervised Domain Adaptation for Semantic Segmentation
Deep learning approaches for semantic segmentation rely primarily on sup...
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01/25/2021
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
Semantic segmentation using convolutional neural networks (CNN) is a cru...
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12/03/2020
Domain Adaptation of Aerial Semantic Segmentation
Semantic segmentation has achieved significant advances in recent years....
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08/28/2020
Adaptive WGAN with loss change rate balancing
Optimizing the discriminator in Generative Adversarial Networks (GANs) t...
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06/08/2018
Generating Image Sequence from Description with LSTM Conditional GAN
Generating images from word descriptions is a challenging task. Generati...
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05/09/2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Using a layered representation for motion estimation has the advantage o...
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12/02/2017
Lecture video indexing using boosted margin maximizing neural networks
This paper presents a novel approach for lecture video indexing using a ...
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09/17/2015
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder
Learning from synthetic data has many important and practical applicatio...
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03/11/2015