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Found 2 papers, 1 papers with code
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition
Specifically, the framework consists of separate global-local adversarial learning modules that learn domain-invariant global and local features independently.
Cross-Domain Facial Expression Recognition
Model Optimization
+2
Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution
The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers leads to significant improvement in this area.
