Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding

Research article (Neural Networks, 2023) · cited 15× · AI/ML
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Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding

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Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding. Retrieved May 24, 2026, from https://4ort.xyz/entity/foreground-segmentation-network-using-transposed-convolutional-neural-networks-and-up-sampling-for-multiscale-feature-en
MLA “Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/foreground-segmentation-network-using-transposed-convolutional-neural-networks-and-up-sampling-for-multiscale-feature-en.
BibTeX @misc{4ortxyz_foreground-segmentation-network-using-transposed-convolutional-neural-networks-and-up-sampling-for-multiscale-feature-en_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding}}, year = {2026}, url = {https://4ort.xyz/entity/foreground-segmentation-network-using-transposed-convolutional-neural-networks-and-up-sampling-for-multiscale-feature-en}, note = {Accessed: 2026-05-24}}
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