The proposed stable self-attention adversarial learning semi-supervised semantic image segmentation network is demonstrated to provide superior image ...
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The present work addresses the issue of long-range dependencies between different image regions by introducing a self-attention mechanism in the generator ...
This is addressed by applying spectral normalization to the GAN discriminator during the training process. The proposed stable self-attention adversarial.
Robust Semi-Supervised Semantic Segmentation Based on Self ...
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We in this paper propose a novel Semantic Parsing Attention Network (SPAN) to transfer person pose from the source to another. SPAN is constructed with several ...
Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization · Abstract · Authors · BibTeX · References · Bibliographies · Reviews ...
This is addressed by applying spectral normalization to the GAN discriminator during the training process. Our method has better performance than existing full/ ...
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It is shown that the proposed discriminator can be used to improve semantic segmentation accuracy by coupling the adversarial loss with the standard cross ...
Jul 1, 2021 · This is addressed by applying spectral normalization to the GAN discriminator during the training process. Our method has better performance ...
[33] ——, “Robust semi-supervised semantic segmentation based on self- attention and spectral normalization,” in 2020 International Joint Con- ference on ...
a robust framework based on the proposed Inception Large. Kernel Attention (I-LKA) modules. This architectural en- hancement makes it possible to ...