How Transformers Finally Ate Vision – Isaac Robinson, Roboflow
AI Engineer579 字 (约 3 分钟)
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Transformers overcome CNN limitations by treating images as patch sequences, achieving 88% accuracy on ImageNet and ushering in a new era for vision AI.
入选理由:ViT在ImageNet上实现88%准确率,超越传统CNN模型
FeaturedVideo#Transformer#Vision#AI#Deep Learning#Computer Vision英文
