ConVision Benchmark: A Contemporary Framework to Benchmark CNN and ViT Models
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have shown remarkable performance in computer vision tasks, including object detection and image recognition. These models have evolved significantly in architecture, efficiency, and versatility. Concurrently, deep-learning framewor...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-07-01
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| Schriftenreihe: | AI |
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| Online-Zugang: | https://www.mdpi.com/2673-2688/5/3/56 |
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