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Found 5 papers, 1 papers with code
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition
The teacher model extracts local image features, whereas the student model focuses on global features using an attention mechanism.
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning
In this paper, we propose a two-phase multi-expert classification method for human action recognition to cope with long-tailed distribution by means of super-class learning and without any extra information.
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation
In this paper, we propose a domain adaptation approach to strengthen the contributions of the semantic background context.
Lumen boundary detection using neutrosophic c-means in IVOCT images
This method clusters pixels of the intravascular optical coherence tomography image into several clusters using indeterminacy and Neutrosophic theory, which aims to detect the boundaries.
