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cs.CV2025
Achieving 3D Attention via Triplet Squeeze and Excitation Block
Maan Alhazmi, Abdulrahman Altahhan
The emergence of ConvNeXt and its variants has reaffirmed the conceptual and structural suitability of CNN-based models for vision tasks, re-establishing them as key players in ima…
cs.CV2024
Emotion Recognition with Facial Attention and Objective Activation Functions
Andrzej Miskow, Abdulrahman Altahhan
In this paper, we study the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM, to existing CNN vision-based models such as VGGNet, R…
cs.CV2024
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Siddharth Sahu, Abdulrahman Altahhan
Capsule Networks outperform Convolutional Neural Networks in learning the part-whole relationships with viewpoint invariance, and the credit goes to their multidimensional capsules…