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ManyiHow to run Google VLM PaliGemma 2 with explanationsPaliGemma 2 is a vision-language model (VLM) which incorporates the capabilities of the Gemma 2 models. The PaliGemma family of models is…4d ago
InTowards Data SciencebyAnindya Dey, PhDVision Transformer with BatchNorm: Optimizing the depthHow integrating BatchNorm in a standard Vision transformer architecture results in faster convergence for a smaller depth, resulting in…Nov 8
InTowards Data SciencebySkylar Jean CallisVision Transformers, ExplainedA Full Walk-Through of Vision Transformers in PyTorchFeb 2711
Shlesha PandeySwin Transformers: Redefining High-Resolution Image AnalysisThe Evolution of Vision ModelsDec 7
InTowards Data SciencebySkylar Jean CallisTokens-to-Token Vision Transformers, ExplainedA Full Walk-Through of the Tokens-to-Token Vision Transformer, and Why It’s Better than the OriginalFeb 272
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InLevel Up CodingbyJorgecardeteConvNeXt: In Search of the Last Convolutional LayerViTs are precise but not so efficient and CNNs are efficient but not so precise. Let’s create a precise and efficient neural networkJan 14