Semantic Pyramid
A semantic pyramid is a hierarchical representation of data, typically used in computer vision and knowledge representation, aiming to capture information at multiple levels of abstraction, from low-level details to high-level semantic concepts. Current research focuses on developing pyramid-based architectures for tasks like semantic segmentation, crowd counting, and multimodal generation, often employing techniques like feature pyramid networks and attention mechanisms to improve performance and efficiency. These advancements are impacting various fields, improving the accuracy and robustness of image analysis, knowledge inference, and code generation, particularly in scenarios with limited data or complex structures.
Papers
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