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Found 7 papers, 1 papers with code
Simplicial Message Passing for Chemical Property Prediction
Recently, message-passing Neural networks (MPNN) provide a promising tool for dealing with molecular graphs and have achieved remarkable success in facilitating the discovery and materials design with desired properties.
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving
The dual-equivariance of our model can extract the equivariant features at both local and global levels, respectively.
Synthesizing Tensor Transformations for Visual Self-attention
Self-attention shows outstanding competence in capturing long-range relationships while enhancing performance on vision tasks, such as image classification and image captioning.
ViR:the Vision Reservoir
To address these problems, a novel method, namely, Vision Reservoir computing (ViR), is proposed here for image classification, as a parallel to ViT.
Learning Robust and Lightweight Model through Separable Structured Transformations
Learning deep models with both lightweight and robustness is necessary for these equipments.
Couplformer:Rethinking Vision Transformer with Coupling Attention Map
With the development of the self-attention mechanism, the Transformer model has demonstrated its outstanding performance in the computer vision domain.
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
A cost-based optimizer introduces a plan enumeration algorithm to find a (sub)plan, and then uses a cost model to obtain the cost of that plan, and selects the plan with the lowest cost.
