Apr 4, 2023 · In this study, a fine-grained classification optimization algorithm that combines the target detection method YOLOv7 and multi-feature fusion ...
In this study, a fine-grained classification optimization algorithm that combines the target detection method YOLOv7 and multi-feature fusion bilinear network ...
A fine-grained image classification method combining YOLOv7 and bilinear multi-level feature fusion ... layer bilinear pooling for fine-grained image ...
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This method performs end-to-end training collaboratively in a multi-branch network to enhance the ability to express information, thereby improving the accuracy ...
Missing: YOLOv7 | Show results with:YOLOv7
Aug 8, 2019 · A fine-grained image classification method combining YOLOv7 and bilinear multi-level feature fusion. Conference Paper. Apr 2023. Min Huang ...
We utilized some recent computer vision methods, such as the transformer encoder block, multi-stage feature fusion, and various training approaches. To ...
This paper devise a novel fine-grained image classification approach by the Hierarchical Bilinear Pooling with Aggregated Slack Mask (HBPASM) model, ...
Missing: YOLOv7 | Show results with:YOLOv7
May 3, 2024 · It comprises several key components: (1) A hybrid attention module (MA), designed to diminish noise interference within the image and enhance ...
Missing: YOLOv7 | Show results with:YOLOv7
It introduces a new architecture, called BiFPN, which allows easy and efficient multi-scale feature fusion, and a new scaling method that uniformly scales the ...
Apr 10, 2017 · Fine-grained image classification is a challenging task due to the large intra-class variance and small inter-class variance, aiming at ...
Missing: YOLOv7 bilinear multi- fusion.