Search Results for author:
Found 7 papers, 2 papers with code
LACFormer: Toward accurate and efficient polyp segmentation
The proposed model combines the strengths of Transformers and CNNs along with Laplacian images to overcome the limitations of previous models.
Online pseudo labeling for polyp segmentation with momentum networks
In this work, we present a new pseudo labeling strategy that enhances the quality of pseudo labels used for training student networks.
Efficient Palm-Line Segmentation with U-Net Context Fusion Module
In this paper, we propose an algorithm to extract principle palm lines from an image of a person's hand.
Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music
Singer voice classification is a meaningful task in the digital era.
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
Among the two popular computing topologies for deploying neural network models in production are cloud-computing and edge-computing.
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
With great progress in the development of Generative Adversarial Networks (GANs), in recent years, the quest for insights in understanding and manipulating the latent space of GAN has gained more and more attention due to its wide range of applications.
Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm
In this paper, the use of deep learning techniques to hide secret audio into the digital images is proposed.
