Bootstrapping SparseFormers from Vision Foundation Models
Computer Vision and Pattern Recognition（2024）
Key words
Foundation Model,Computational Cost,Bootstrap Procedure,Language Model,Large-scale Models,Final Representation,Multimodal Model,Vision Transformer,Visual Understanding,Classification Model,Learning Rate,High Throughput,Input Image,Data Augmentation,Latent Space,Question Answering,Semantic Segmentation,Linear Layer,Self-supervised Learning,Pre-trained Weights,Token Embedding,Transformer Block,Learning Rate Set,Transformer Architecture,Visual Encoding,Transformer Encoder,Foreground Objects,Distillation Method
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