Description
MobileViT is a vision transformer that is tuned to mobile phone
Papers Using This Method
A Smart Healthcare System for Monkeypox Skin Lesion Detection and Tracking2025-05-25A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives2025-03-12Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification2024-10-31FilterViT and DropoutViT2024-10-30Comparison of Machine Learning Approaches for Classifying Spinodal Events2024-10-13EfficientCrackNet: A Lightweight Model for Crack Segmentation2024-09-26Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies2024-08-12EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures2024-08-06Efficient Visual Transformer by Learnable Token Merging2024-07-21Advancing Solar Flare Prediction using Deep Learning with Active Region Patches2024-06-16Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors2024-06-07HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction2024-03-18A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting2024-01-11Supervised domain adaptation for building extraction from off-nadir aerial images2023-11-07Mobile Vision Transformer-based Visual Object Tracking2023-09-11LowDINO -- A Low Parameter Self Supervised Learning Model2023-05-28Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines2023-02-21Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers2022-08-15EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications2022-06-21Separable Self-attention for Mobile Vision Transformers2022-06-06