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Found 16 papers, 3 papers with code
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can produce hundreds of full-body high-resolution volumetric images of organisms.
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
The sensors were placed unobtrusively in a sports cap to monitor facial muscle activities related to facial expressions.
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing.
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Our model not only distills the deterministic and progressive knowledge which are from the pre-trained and previous epoch predictive probabilities but also transfers the knowledge of the deterministic predictive distributions using adversarial learning.
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition
To mitigate this problem we propose a method that facilitates the use of information from sensors that are only present during the training process and are unavailable during the later use of the system.
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition
Meanwhile, we evaluate the impact of the infrared array sensor on the recognition accuracy of these activities.
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
In this work, we propose a novel Transformer-based Adversarial learning framework for human activity recognition using wearable sensors via Self-KnowledgE Distillation (TASKED), that accounts for individual sensor orientations and spatial and temporal features.
Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images
The estimation of 3D human body shape and clothing measurements is crucial for virtual try-on and size recommendation problems in the fashion industry but has always been a challenging problem due to several conditions, such as lack of publicly available realistic datasets, ambiguity in multiple camera resolutions, and the undefinable human shape space.
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5. 0.
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
The proposed network is based on the adversarial encoder-decoder structure with the MMD realign the data distribution over multiple subjects.
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
The experimental results show that the proposed feature extraction method can effectively predict the RUL and outperforms the conventional RUL prediction approaches based on deep neural networks.
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Deep neural networks (DNNs) have been widely used for medical image analysis.
Sequential Targeting: an incremental learning approach for data imbalance in text classification
Classification tasks require a balanced distribution of data to ensure the learner to be trained to generalize over all classes.
Discriminative feature generation for classification of imbalanced data
In this paper, we propose a novel supervised discriminative feature generation (DFG) method for a minority class dataset.
Two-stage generative adversarial networks for document image binarization with color noise and background removal
Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition.
Ranked #1 on
Binarization
on LRDE DBD
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
These results are expected to improve the shipping address recognition and verification system by applying different image preprocessing steps based on the classified conditions.
