Attention Mechanisms in Computer Vision: Studying attention mechanisms in computer vision for focusing on relevant regions or features in images or video frames
Published 04-04-2022
Keywords
- Attention Mechanisms,
- Computer Vision
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
Attention mechanisms have emerged as a powerful tool in computer vision, enabling models to focus on relevant regions or features in images or video frames. This paper presents a comprehensive review of attention mechanisms in computer vision, covering their evolution, underlying principles, and applications. We discuss various types of attention mechanisms, including spatial and channel-wise attention, and their integration into convolutional neural networks (CNNs) and recurrent neural networks (RNNs). We also explore recent advances in attention mechanisms, such as self-attention and transformer-based models, and their impact on performance. Additionally, we examine challenges and future directions in the field of attention mechanisms in computer vision.
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References
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