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Found 6 papers, 5 papers with code
StyleNAT: Giving Each Head a New Perspective
Image generation has been a long sought-after but challenging task, and performing the generation task in an efficient manner is similarly difficult.
Ranked #2 on
Image Generation
on FFHQ 256 x 256
Design Amortization for Bayesian Optimal Experimental Design
Bayesian optimal experimental design is a sub-field of statistics focused on developing methods to make efficient use of experimental resources.
Neighborhood Attention Transformer
We present Neighborhood Attention (NA), the first efficient and scalable sliding-window attention mechanism for vision.
Ranked #119 on
Semantic Segmentation
on ADE20K
SeMask: Semantically Masked Transformers for Semantic Segmentation
To achieve this, we propose SeMask, a simple and effective framework that incorporates semantic information into the encoder with the help of a semantic attention operation.
Ranked #10 on
Semantic Segmentation
on Cityscapes val
ConvMLP: Hierarchical Convolutional MLPs for Vision
MLP-based architectures, which consist of a sequence of consecutive multi-layer perceptron blocks, have recently been found to reach comparable results to convolutional and transformer-based methods.
Ranked #8 on
Image Classification
on Flowers-102
(using extra training data)
Escaping the Big Data Paradigm with Compact Transformers
Our models are flexible in terms of model size, and can have as little as 0. 28M parameters while achieving competitive results.
Ranked #1 on
Image Classification
on Flowers-102
(using extra training data)
Fine-Grained Image Classification
Superpixel Image Classification
