github.com/UmarSpa/HairAnalysis
UmarSpa/HairAnalysis
"Hair detection, segmentation, and hairstyle classification in the wild" (⭐ 217)
arxiv.org/abs/2410.11528v1
Hairmony: Fairness-aware hairstyle classification
We present a method for prediction of a person's hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available methods are limited, particularly in the range of hairstyles they can cap...
arxiv.org/abs/2102.06288v3
K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and…
The hair and beauty industry is a fast-growing industry. This led to the development of various applications, such as virtual hair dyeing or hairstyle transfer, to satisfy the customer's needs. Although several hairstyle datasets are available for th...
arxiv.org/abs/1706.00396v3
Line Profile Based Segmentation Algorithm for Touching Corn Kernels
Image segmentation of touching objects plays a key role in providing accurate classification for computer vision technologies. A new line profile based imaging segmentation algorithm has been developed to provide a robust and accurate segmentation of...
github.com/Shubham-SK/dermatologist
Shubham-SK/dermatologist
Pytorch implementation of the "Dermatologist-level classification of skin cancer with deep neural networks" research paper. Smaller dataset supplied by Udacity. (⭐ 16)
arxiv.org/abs/1703.01976v3
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks f…
This report describes our submission to the ISIC 2017 Challenge in Skin Lesion Analysis Towards Melanoma Detection. We have participated in the Part 3: Lesion Classification with a system for automatic diagnosis of nevus, melanoma and seborrheic kera...
en.wikipedia.org/wiki/Philosophical_language
Philosophical language - Wikipedia
A philosophical language is any constructed language that is constructed from first principles, sometimes following a classification. It is considered
arxiv.org/abs/2112.11052v2
Predicting Job Titles from Job Descriptions with Multi-label Text Classification
Finding a suitable job and hunting for eligible candidates are important to job seeking and human resource agencies. With the vast information about job descriptions, employees and employers need assistance to automatically detect job titles based on...
arxiv.org/abs/2506.15879v1
Job Market Cheat Codes: Prototyping Salary Prediction and Job Grouping with Synt…
This paper presents a machine learning methodology prototype using a large synthetic dataset of job listings to identify trends, predict salaries, and group similar job roles. Employing techniques such as regression, classification, clustering, and n...
arxiv.org/abs/2407.11861v1
What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation
Warning: This paper contains memes that may be offensive to some readers. Multimodal Internet Memes are now a ubiquitous fixture in online discourse. One strand of meme-based research is the classification of memes according to various affects, suc...
arxiv.org/abs/2006.02322v3
Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Class…
At present, the ubiquity method to diagnose the severity of diabetic feet (DF) depends on professional podiatrists. However, in most cases, professional podiatrists have a heavy workload, especially in underdeveloped and developing countries and regi...
arxiv.org/abs/2201.03928v2
Classification and construction of picture fuzzy topological spaces
This paper initiates the study of picture fuzzy topological spaces. In order to develop a mechanism to construct picture fuzzy topological spaces, we prove some basic results related to picture fuzzy sets together with the introduction of many new no...
arxiv.org/abs/1908.04374v1
Two Dimensional Router: Design and Implementation
Higher dimensional classification has attracted more attentions with increasing demands for more flexible services in the Internet. In this paper, we present the design and implementation of a two dimensional router (TwoD router), that makes forwardi...
arxiv.org/abs/2210.03861v1
Towards Light Weight Object Detection System
Transformers are a popular choice for classification tasks and as backbones for object detection tasks. However, their high latency brings challenges in their adaptation to lightweight object detection systems. We present an approximation of the self...
arxiv.org/abs/2104.00299v2
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
This paper proposes a novel knowledge distillation-based learning method to improve the classification performance of convolutional neural networks (CNNs) without a pre-trained teacher network, called exit-ensemble distillation. Our method exploits t...
arxiv.org/abs/cond-mat/9911311v1
Statistical Analysis of Freeway Traffic
Single-vehicle data of freeway traffic as well as selected Floating-Car (FC) data are analyzed in great detail. Traffic states are distinguished by means of aggregated data. We propose a method for a quantitative classification of these states. The...
arxiv.org/abs/1712.01696v1
Avaliação do método dialético na quantização de imagens multiespectrais
The unsupervised classification has a very important role in the analysis of multispectral images, given its ability to assist the extraction of a priori knowledge of images. Algorithms like k-means and fuzzy c-means has long been used in this task....
arxiv.org/abs/2407.05271v1
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neut…
Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align...
github.com/oarriaga/face_classification
oarriaga/face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. (⭐ 5725)
arxiv.org/abs/2011.13124v2
Classification of Thompson related groups arising from Jones technology II
In this second article, we continue to study classes of groups constructed from a functorial method due to Vaughan Jones. A key observation of the author shows that these groups have remarkable diagrammatic properties that can be used to deduce their...