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Found 2 papers, 1 papers with code
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces
To address the aforementioned issues, we propose a novel Contrastive model for Sequential Interaction Network learning on Co-Evolving RiEmannian spaces, CSINCERE.
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation
To be precise, we use the Dual-Guided Attention (DGA) module we proposed to replace some multi-scale transformations with the calculation of attention which means we only use several attention layers of near linear complexity to achieve performance comparable to frequently-used multi-layer fusion.
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