Apr 9, 2024 · In this work, we propose a hybrid backbone network model –Hybrid Pyramid Vision Transformer(HPViT), which can be used for dense prediction tasks.
Overall, it is a feature pyramid structure that can generate multi-scale feature maps for dense prediction tasks. There are a total of four stages. In the first ...
Bibliographic details on HPViT: A Hybrid Visual Model with Feature Pyramid Transformer Structure.
1. Gradient-based learning applied to document recognition · 2. ImageNet classification with deep convolutional neural networks.
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What is a pyramid vision transformer?
What is a hybrid vision transformer?
HPViT: A Hybrid Visual Model with Feature Pyramid Transformer Structure ... Pyramid Vision Transformer based on Bidirectional Multiscale Feature Fusion for ...
Feb 24, 2021 · This work investigates a simple backbone network useful for many dense prediction tasks without convolutions.
Missing: HPViT: Hybrid Structure.
The PVT is a type of vision transformer that utilizes a pyramid structure to make it an effective backbone for dense prediction tasks.
Missing: HPViT: | Show results with:HPViT:
We explore the plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection. This design enables the original ViT ...
HPViT: A Hybrid Visual Model with Feature Pyramid Transformer Structure. JiaXiong Li, Hongguang Xiao and Yongzhou Li. Conference: 2023 8th International ...
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