Squeeze-and-Excitation Networks

representative citing papers

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Showing 5 of 5 citing papers.

• Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cs.LG · 2026-05-02 · unverdicted · none · ref 16

  EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.

• NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces math.NA · 2026-05-08 · unverdicted · none · ref 12 · 2 links

  NSPOD is a multigrid-like preconditioner using DeepONet-learned POD subspaces that dramatically cuts Krylov solver iterations for solid mechanics PDEs on unstructured CAD geometries, outperforming algebraic multigrid.

• Dual-stream Spatio-Temporal GCN-Transformer Network for 3D Human Pose Estimation cs.CV · 2026-04-20 · unverdicted · none · ref 27

  MixTGFormer reports state-of-the-art 3D pose estimation errors of 37.6 mm on Human3.6M and 15.7 mm on MPI-INF-3DHP by using parallel GCN-Transformer streams with SE layers for local-global feature fusion.

• Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification cs.CV · 2026-05-02 · unverdicted · none · ref 148

  A DenseNet201 base model trained on a constructed plant leaf disease dataset outperforms baselines and enables faster, more robust transfer learning with less data than general models.

• A Transfer Learning Evaluation of Deep Neural Networks for Image Classification cs.CV · 2026-05-12 · unverdicted · none · ref 28

  Empirical comparison of transfer learning performance across eleven pre-trained models on five image datasets using accuracy, time, and size metrics.