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- W4384518583 abstract "Inspired by the Diffusion Model, this paper proposes a Self-attention-generating object detection algorithm (SAG-D). The algorithm uses self-attention to extract features and fuse them into the backbone network, so as to obtain more effective features to guide the decoder to find the appropriate RoI, and uses the principle of diffusion model to continuously correct the simulation box with noise to generate the predicted ground truth box. In the end, The experiments show that the proposed algorithm achieves very good results on MS COCO dataset." @default.
- W4384518583 created "2023-07-18" @default.
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- W4384518583 date "2023-05-26" @default.
- W4384518583 modified "2023-09-25" @default.
- W4384518583 title "A generative target detection algorithm based on diffusion model" @default.
- W4384518583 cites W2989676862 @default.
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- W4384518583 doi "https://doi.org/10.1109/icetci57876.2023.10176578" @default.
- W4384518583 hasPublicationYear "2023" @default.
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