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Robust Self-training with Label Refinement for Noisy Domain Adaptation
Unsupervised Domain Adaptation (UDA) intends to achieve excellent results by transferring knowledge from labeled source domains to unlabeled target...
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Multi-label feature selection via joint label enhancement and pairwise label correlations
Multi-label feature selection(MFS) has gained in importance, and it is today confronted with the current need to process multi-semantic...
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Online Label Refinement for Weakly Semi-supervised Semantic Vehicle Parsing Using CNN and Transformer
Pixel-level semantic segmentation, or part segmentation, is currently one of the widely researched and implemented techniques pertaining to...
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Fuzzy information gain ratio-based multi-label feature selection with label correlation
Multi-label feature selection aims to mitigate the curse of dimensionality in multi-label data by selecting a smaller subset of features from the...
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Spatial refinement based method for small-sized target detection
To detect small-sized targets in long-distance images, we propose a spatial refinement-based method by fusing features of small-sized targets....
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Edge-Node Refinement for Weakly-Supervised Point Cloud Segmentation
Point cloud segmentation is an important issue of 3D industrial visual perception. With the development of learning-based method, some significant...
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Event detection algorithm based on label semantic encoding
One major challenge in event detection tasks is the lack of a large amount of annotated data. In a low-sample learning environment, effectively...
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Merit: multi-level graph embedding refinement framework for large-scale graph
The development of the Internet and big data has led to the emergence of graphs as an important data representation structure in various real-world...
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An Excel-Based Stock Management System for a Leather Label Manufacturer
This paper presents a proposal for an Excel-based digital inventory tracking system to address the operational challenges faced by a leather label...
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Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis
AbstractUrban traffic data records people’s individual movement and behavioral histories, which implies underlying human mobility patterns. How to...
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A lightweight filter based feature selection approach for multi-label text classification
Multi-label Text Classification (MTC) is a challenging task in Natural Language Processing (NLP). The goal of the MTC task is to label a document...
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Attention-guided Boundary Refinement on Anchor-free Temporal Action Detection
Modelling temporal dependencies is important for accurate action detection. In this work, we develop a temporal attention unit to mine the global...
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Retinal Vessel Segmentation via Adversarial Learning and Iterative Refinement
Retinal vessel segmentation is a challenging medical task owing to small size of dataset, micro blood vessels and low image contrast. To address...
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N-PIR: A Neighborhood-Based Pareto Iterative Refinement Approach for High-Level Synthesis
The field of VLSI design faces the challenge of identifying the possible designs that simultaneously optimize the multiple conflicting objectives...
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A Feature Refinement Network for Bird Nest Detection in Distribution Network
Most of the distribution network line failures are overhead line failures, and bird damage has always been the main reason for the high incidence of...
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Clustering-Based Refinement for 3D Human Body Parts Segmentation
A common approach to address human body parts segmentation on 3D data involves the use of a 2D segmentation network and 3D projection. Following this...
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Image-to-Video Translation Using a VAE-GAN with Refinement Network
With the development of deep learning technology, various techniques for image processing have emerged in the field of computer vision in recent...
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Brain volume refinement (BVeR): automatic correction tool as an alternative to manual intervention on brain segmentation
PurposeIn neuroimage studies, it is usual to set a sequence of image preprocessing steps to obtain a controlled data analysis. One of the possible...
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Feature refinement with DBO: optimizing RFRC method for autonomous vehicle detection
In today’s world, the utilization of a large number of vehicles has led to congested traffic conditions and an increase in accidents. These issues...
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Robust statistical approach to stereo disparity maps denoising and refinement
The advent of convolutional neural networks has led to remarkable progress in dense stereo labeling problem, achieving superior performance over the...
