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A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors
We present a novel local-global feature fusion framework for body-weight exercise recognition with floor-based dynamic pressure maps. …
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TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax
The quadratic complexity of the attention mechanism represents one of the biggest hurdles for processing long sequences using …
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ShapeAug: Occlusion Augmentation for Event Camera Data
Recently, Dynamic Vision Sensors (DVSs) sparked a lot of interest due to their inherent advantages over conventional RGB cameras. These …
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Federated Ensemble YOLOv5 – A Better Generalized Object Detection Algorithm
Federated learning (FL) has gained significant traction as a privacy-preserving algorithm, but the underlying resemblances of federated …
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Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Early prediction of remaining useful life (RUL) is crucial for effective battery management across various industries, ranging from …
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DWA: Differential Wavelet Amplifier for Image Super-Resolution
This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR). DWA …
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Sensor data augmentation from skeleton pose sequences for improving human activity recognition
The proliferation of deep learning has significantly advanced various fields, yet Human Activity Recognition (HAR) has not fully …
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Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Recent advances in deep learning have significantly improved the performance of various computer vision applications. However, …
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ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
Online clothing shopping has become increasingly popular, but the high rate of returns due to size and fit issues has remained a major …
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Difficulty Estimation With Action Scores for Computer Vision Tasks
As more machine learning models are now being applied in real world scenarios it has become crucial to evaluate their difficulties and …
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