Use all the labels: A hierarchical multi-label contrastive learning framework
Current contrastive learning frameworks focus on leveraging a single supervisory signal to
learn representations, which limits the efficacy on unseen data and downstream tasks. In this …
learn representations, which limits the efficacy on unseen data and downstream tasks. In this …
Nitrogen deficiency prediction of rice crop based on convolutional neural network
Nitrogen (N) concentration is a significant parameter to check the status of health in rice
crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This …
crop. Nitrogen (N) plays an essential role in the growth and productivity of rice plant. This …
Condition-CNN: A hierarchical multi-label fashion image classification model
B Kolisnik, I Hogan, F Zulkernine - Expert Systems with Applications, 2021 - Elsevier
Current state of the art image classifiers predict a single class label of an image. However, in
many industry settings such as online shopping, images belong to a class hierarchy where …
many industry settings such as online shopping, images belong to a class hierarchy where …
A knowledge-sharing semi-supervised approach for fashion clothes classification and attribute prediction
Fashion is a form of self-expression that permits us to manifest our personality and identity
with more confidence. Visual fashion clothing analysis has attracted researchers who have …
with more confidence. Visual fashion clothing analysis has attracted researchers who have …
An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classification
Fashion clothes classification encompasses spotting and identifying items of clothing in an
image. This area of research has involved using deep neural networks to make an impact in …
image. This area of research has involved using deep neural networks to make an impact in …
Fashion sub-categories and attributes prediction model using deep learning
MS Amin, C Wang, S Jabeen - The Visual Computer, 2023 - Springer
The fashion clothing and items classification is challenging to incorporate category/sub-
category classification and attributes prediction for numerous fashion items into a compact …
category classification and attributes prediction for numerous fashion items into a compact …
Blind People: Clothing Category Classification and Stain Detection Using Transfer Learning
The ways in which people dress, as well as the styles that they prefer for different contexts
and occasions, are part of their identity. Every day, blind people face limitations in identifying …
and occasions, are part of their identity. Every day, blind people face limitations in identifying …
PMTL: A Progressive Multi-Level Training Framework for Retail Taxonomy Classification
G Bhattacharya, G Sharma… - Proceedings of the …, 2024 - openaccess.thecvf.com
Retail taxonomy classification provides hierarchical labelling of items and it has widespread
applications, ranging from product on-boarding, product arrangement and faster retrieval. It …
applications, ranging from product on-boarding, product arrangement and faster retrieval. It …
Rove-Tree-11: The not-so-Wild Rover, A hierarchically structured image dataset for deep metric learning research
R Hunt, KS Pedersen - Proceedings of the Asian …, 2022 - openaccess.thecvf.com
We present a new dataset of images of pinned insects from museum collections along with a
ground truth phylogeny (a graph representing the relative evolutionary distance between …
ground truth phylogeny (a graph representing the relative evolutionary distance between …
A framework for real-time dress classification in cluttered background images for robust image retrieval
The dress of a person can provide information like culture, status, gender, and personality.
Dress classification can help us improve e-commerce, image-based search engines for the …
Dress classification can help us improve e-commerce, image-based search engines for the …