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Found 5 papers, 2 papers with code
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.
Contrastive learning for natural language-based vehicle retrieval
In this paper, we present our methods to tackle the difficulties of the provided task.
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
In this paper, we propose a pipeline to adapt the general-purpose RoBERTa language model to a specific text classification task: Vietnamese Hate Speech Detection.
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.
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.
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