{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-a-convnet-for-the-2020s-convnext","slug":"a-convnet-for-the-2020s-convnext","name":"A ConvNet for the 2020s (ConvNeXt)","type":"product","url":"https://openaccess.thecvf.com/content/CVPR2022/html/Liu_A_ConvNet_for_the_2020s_CVPR_2022_paper.html","page_url":"https://unfragile.ai/a-convnet-for-the-2020s-convnext","categories":["productivity"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"inactive","verified":false},"capabilities":[{"id":"awesome-a-convnet-for-the-2020s-convnext__cap_0","uri":"capability://image.visual.modernized.convnet.image.classification.backbone","name":"modernized-convnet-image-classification-backbone","description":"Pure convolutional neural network architecture that systematically incorporates Vision Transformer design principles (larger kernels, layer normalization, inverted bottlenecks, reduced activation functions) into ResNet-style convolutions without attention mechanisms. 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