Viblo AI

Viblo AI

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Few-Shot Learning cho phân loại hình ảnh

Deep Learning

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Viblo AI

thg 1 16, 8:00 SA 10 phút đọc

Paper reading | X3D: Expanding Architectures for Efficient Video Recognition

Deep Learning

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2

Viblo AI

thg 1 11, 8:00 SA 8 phút đọc

Paper reading | MaxViT: Multi-Axis Vision Transformer

Deep Learning

189 2 0

4

Viblo AI

thg 1 9, 8:00 SA 16 phút đọc

Paper reading | CoAtNet: Marrying Convolution and Attention for All Data Sizes

Deep Learning

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4

Viblo AI

thg 1 6, 8:00 SA 8 phút đọc

Paper reading | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

Deep Learning ocr

269 2 0

2

Viblo AI

thg 1 4, 8:00 SA 4 phút đọc

Paper reading | Tóm tắt mô hình ResNeSt: Split-Attention Networks

Deep Learning

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2

Viblo AI

thg 1 2, 8:00 SA 8 phút đọc

Paper reading | Tìm hiểu mô hình ResNeXt

Deep Learning

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2

Viblo AI

thg 12 30, 2023 8:00 SA 13 phút đọc

Paper reading | Deep High-Resolution Representation Learning for Visual Recognition

Deep Learning

281 0 0

3

Viblo AI

thg 12 28, 2023 8:00 SA 14 phút đọc

Paper reading | EfficientNetV2: Smaller Models and Faster Training

Deep Learning

646 0 0

2

Viblo AI

thg 12 26, 2023 8:00 SA 6 phút đọc

Paper reading | Xception phiên bản nâng cấp của Inception V3

Deep Learning image classification

895 0 0

3

Viblo AI

thg 12 23, 2023 8:00 SA 13 phút đọc

Paper reading | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Deep Learning Vision Transformer

93 1 0

2

Viblo AI

thg 12 21, 2023 8:00 SA 4 phút đọc

Paper reading | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Deep Learning Resnet

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2

Viblo AI

thg 12 19, 2023 8:00 SA 8 phút đọc

Paper reading | GRAPH ATTENTION NETWORKS

Deep Learning

710 1 0

3

Viblo AI

thg 12 16, 2023 8:00 SA 6 phút đọc

Paper reading | ACTION-Net: Multipath Excitation for Action Recognition

Deep Learning Efficient Video Understanding

72 0 1

2

Viblo AI

thg 12 14, 2023 8:00 SA 8 phút đọc

Paper reading | VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Video Understanding

167 0 0

2

Viblo AI

thg 11 8, 2023 9:00 SA 9 phút đọc

Paper reading | VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Video Understanding

296 0 0

4

Viblo AI

thg 11 8, 2023 8:00 SA 7 phút đọc

Paper reading | Video Swin Transformer

Deep Learning Transformer

242 1 0

4

Viblo AI

thg 11 6, 2023 9:00 SA 10 phút đọc

Paper reading | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Deep Learning

89 0 0

3

Viblo AI

thg 11 6, 2023 8:00 SA 12 phút đọc

Paper reading | Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning

Video Understanding

52 0 0

2

Viblo AI

thg 11 3, 2023 9:00 SA 12 phút đọc

Paper reading | Expanding Language-Image Pretrained Models for General Video Recognition

Deep Learning

69 1 0

0

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Few-Shot Learning cho phân loại hình ảnh

Paper reading | X3D: Expanding Architectures for Efficient Video Recognition

Paper reading | MaxViT: Multi-Axis Vision Transformer

Paper reading | CoAtNet: Marrying Convolution and Attention for All Data Sizes

Paper reading | CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

Paper reading | Tóm tắt mô hình ResNeSt: Split-Attention Networks

Paper reading | Tìm hiểu mô hình ResNeXt

Paper reading | Deep High-Resolution Representation Learning for Visual Recognition

Paper reading | EfficientNetV2: Smaller Models and Faster Training

Paper reading | Xception phiên bản nâng cấp của Inception V3

Paper reading | Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Paper reading | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Paper reading | GRAPH ATTENTION NETWORKS

Paper reading | ACTION-Net: Multipath Excitation for Action Recognition

Paper reading | VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Paper reading | VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Paper reading | Video Swin Transformer

Paper reading | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Paper reading | Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning

Paper reading | Expanding Language-Image Pretrained Models for General Video Recognition

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