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Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition
Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …
forged nor suppressed. They are very important nonverbal communication clues, but are …
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Q Hu, LFF Souza, GB Holanda, SSA Alves… - Artificial intelligence in …, 2020 - Elsevier
Computer vision systems have numerous tools to assist in various medical fields, notably in
image diagnosis. Computed tomography (CT) is the principal imaging method used to assist …
image diagnosis. Computed tomography (CT) is the principal imaging method used to assist …
Knowledge-driven self-supervised representation learning for facial action unit recognition
Y Chang, S Wang - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Facial action unit (AU) recognition is formulated as a supervised learning problem by recent
works. However, the complex labeling process makes it challenging to provide AU …
works. However, the complex labeling process makes it challenging to provide AU …
Knowledge augmented deep neural networks for joint facial expression and action unit recognition
Facial expression and action units (AUs) represent two levels of descriptions of the facial
behavior. Due to the underlying facial anatomy and the need to form a meaningful coherent …
behavior. Due to the underlying facial anatomy and the need to form a meaningful coherent …
PPA-Net: pyramid pooling attention network for multi-scale ship detection in SAR images
In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …
there has been a growing adoption of ship detection models that are based on deep …
Review on learning framework for facial expression recognition
The facial expressions recognition (FER) is crucial to many applications. As technology
advances and our needs evolve, compound emotion recognition is becoming increasingly …
advances and our needs evolve, compound emotion recognition is becoming increasingly …
[HTML][HTML] Pothole classification model using edge detection in road image
JW Baek, K Chung - Applied Sciences, 2020 - mdpi.com
Since the image related to road damage includes objects such as potholes, cracks,
shadows, and lanes, there is a problem that it is difficult to detect a specific object. In this …
shadows, and lanes, there is a problem that it is difficult to detect a specific object. In this …