Tubidy MP3 & MP4

En popüler MP3 müziklerinizi ve MP4 videolarınızı ücretsiz indirin. Geniş bir multimedya içeriği seçkisini keşfedin ve sorunsuz indirmelerin tadını çıkarın.

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

33:14 |

Yükleniyor...

Hızlı erişim için Tubidy'yi favorilerinize ekleyin.

İlgili Videolar

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets

How do Vision Transformers work? – Paper explained | multi-head self-attention & convolutions

How do Vision Transformers work? – Paper explained | multi-head self-attention & convolutions

CoAtNet: Marrying Convolution and Attention for All Data Sizes

CoAtNet: Marrying Convolution and Attention for All Data Sizes

Paper Reading Group: ConvNext

Paper Reading Group: ConvNext

CVPR #18572 - Vision Transformer: More is different

CVPR #18572 - Vision Transformer: More is different

EfficientNetV2 - Smaller Models and Faster Training | Paper explained

EfficientNetV2 - Smaller Models and Faster Training | Paper explained

Restormer: Efficient Transformer for High Resolution Image Restoration | CVPR 2022

Restormer: Efficient Transformer for High Resolution Image Restoration | CVPR 2022

[Long Review] Conformer: Convolution-augmented Transformer for Speech Recognition

[Long Review] Conformer: Convolution-augmented Transformer for Speech Recognition

CS231n Winter 2016: Lecture 11: ConvNets in practice

CS231n Winter 2016: Lecture 11: ConvNets in practice

MLP-Mixer: An all-MLP Architecture for Vision | Paper explained

MLP-Mixer: An all-MLP Architecture for Vision | Paper explained

Kinetics-700 Challenge

Kinetics-700 Challenge

[Classic] Deep Residual Learning for Image Recognition (Paper Explained)

[Classic] Deep Residual Learning for Image Recognition (Paper Explained)

MedAI #138: Towards Efficient AI for Biomedical Imaging | Md Mostafijur Rahman

MedAI #138: Towards Efficient AI for Biomedical Imaging | Md Mostafijur Rahman

Deformable Convolutional Networks

Deformable Convolutional Networks

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer (Review)

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer (Review)

AI Weekly Update Preview - March 29th, 2021 (#30)

AI Weekly Update Preview - March 29th, 2021 (#30)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (Paper Explained)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (Paper Explained)

DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretabili

DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretabili

PR-183: MixNet: Mixed Depthwise Convolutional Kernels

PR-183: MixNet: Mixed Depthwise Convolutional Kernels