MFT-GAN: A Multi-Scale Feature Guided Transformer Network for Unsupervised Hyperspectral Pan-Sharpening

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MFT-GAN: A Multi-Scale Feature Guided Transformer Network for Unsupervised Hyperspectral Pan-Sharpening

Click the “ReadingPapers” card below to get daily interpretations of top journal papers. Paper Information Abstract Unsupervised learning, which learns data distribution without labeled samples, is a very promising method to solve the challenging task of hyperspectral pan-sharpening. Inspired by this, we introduce an innovative Generative Adversarial Network framework (named MFT-GAN), which integrates transformer networks … Read more

AIGC Platform Infringement Case: Boundaries of Directed Learning

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AIGC Platform Infringement Case: Boundaries of Directed Learning

Human literary and artistic creations cannot emerge out of thin air; they are either imitations of nature or inspired by existing works. As we enter the AIGC era, users utilizing AI tools for creation cannot avoid issuing commands based on predecessors’ works or styles. This necessitates that AI must learn to a certain extent from … Read more

Surface Defect Detection Method Based on GAN

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Click on the above “Beginner Learns Vision“, choose to add “Star Mark” or “Top“ Essential Insights Delivered Promptly Source | Intelligent Manufacturing Bureau Introduction Defect detection is a crucial aspect of the industrial production process, and the quality of its detection results directly affects product quality. In real-world scenarios, when the defect rate is very … Read more

Exploring GANpaint: A Simple Tool for Image Editing

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Exploring GANpaint: A Simple Tool for Image Editing

Introduction The GANpaint tool developed by MIT allows for easy photo editing, enabling users to upload any photo for editing without damaging its original details. In addition to helping artists and designers quickly adjust visual effects, researchers say this work may help computer scientists identify “fake” images. While we are still immersed in the black … Read more

TorchGAN Framework Based on PyTorch: Easily Customize GAN Projects

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TorchGAN Framework Based on PyTorch: Easily Customize GAN Projects

Click on the above “Beginner’s Visual Learning” to select “Star” or “Pin“ Important content delivered promptly TorchGAN is a GAN design and development framework based on PyTorch. This framework aims to provide construction modules for popular GANs and allows customization for cutting-edge research. Using the modular structure of TorchGAN, you can: Experiment with popular GAN … Read more

Top 10 Deep Learning Models

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Top 10 Deep Learning Models

Approximately 10,000 words, recommended reading time: 15 minutes. This article shares the top 10 models in deep learning, which hold significant positions in terms of innovation, application value, and impact. Since the concept of deep learning was proposed in 2006, nearly 20 years have passed. Deep learning, as a revolution in the field of artificial … Read more

Im2Mesh GAN: Recovering 3D Hand Mesh from a Single RGB Image

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Im2Mesh GAN: Recovering 3D Hand Mesh from a Single RGB Image

Click on the above “Beginner Learning Vision“, select to add “Starred” or “Pinned“ Heavyweight content delivered in real time Beginner’s Guide The paper is the essence of academic research and a beacon for future development. The author is determined to bring classic or the latest paper interpretations and shares daily to help readers quickly understand … Read more

Understanding LSGAN and WGAN in GANs

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Understanding LSGAN and WGAN in GANs

Generative Adversarial Networks (4) The enthusiastic learner and writer, this yellow duck is back online. Last time, we discussed the network structure of ACGAN, the method of introducing category information, the metrics for evaluating the performance of generative adversarial networks, methods to improve model training stability, and more. In the ACGAN paper, there is a … Read more

Image Generator | Generate The Simpsons Family Using GAN

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Image Generator | Generate The Simpsons Family Using GAN

Introduction In today’s article, we will implement a machine learning model that can generate countless similar image samples based on a given dataset. To achieve this machine learning model, we will launch Generative Adversarial Networks (GANs) and input data containing features of “The Simpsons” images. By the end of this article, you will be familiar … Read more

GaN: The Best Choice for Differentiated Competition in Bidirectional Inverters

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GaN: The Best Choice for Differentiated Competition in Bidirectional Inverters

In recent years, with the growth of demand for self-driving tours, outdoor camping, and emergency power supplies, portable energy storage is ushering in a new development opportunity. On November 11, at the 2022 International Integrated Circuit Exhibition and Seminar (IIC Shenzhen) High-Efficiency Power Management and Power Device Forum, Dr. Hu Zongbo from Zhuhai GaN Future … Read more