KAConvNet introduces a Kolmogorov-Arnold Convolutional Layer to build networks competitive with ViTs and CNNs while offering stronger theoretical interpretability.
Localvit: Bringing locality to vision transformers
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MobileViT is a lightweight vision transformer that reports 78.4% top-1 accuracy on ImageNet-1k with ~6M parameters, outperforming MobileNetv3 by 3.2% and DeIT by 6.2% at similar size, plus gains on MS-COCO detection.
CPRAformer fuses spatial-channel and global-local attention paradigms via SPC-SA, SPR-SA, and AAFM to achieve state-of-the-art image deraining on eight benchmarks.
citing papers explorer
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KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition
KAConvNet introduces a Kolmogorov-Arnold Convolutional Layer to build networks competitive with ViTs and CNNs while offering stronger theoretical interpretability.
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MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
MobileViT is a lightweight vision transformer that reports 78.4% top-1 accuracy on ImageNet-1k with ~6M parameters, outperforming MobileNetv3 by 3.2% and DeIT by 6.2% at similar size, plus gains on MS-COCO detection.
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Cross Paradigm Representation and Alignment Transformer for Image Deraining
CPRAformer fuses spatial-channel and global-local attention paradigms via SPC-SA, SPR-SA, and AAFM to achieve state-of-the-art image deraining on eight benchmarks.