Intensive reading series of Li Mu's papers three: MoCo, contrastive learning overview (MoCov1/v2/v3, SimCLR v1/v2, DINO, etc.) - Code World

Intensive reading series of Li Mu's papers three: MoCo, contrastive learning overview (MoCov1/v2/v3, SimCLR v1/v2, DINO, etc.)

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Intensive reading series of Li Mu's papers three: MoCo, contrastive learning overview (MoCov1/v2/v3, SimCLR v1/v2, DINO, etc.)

Intensive reading of deep learning papers [11]: Deeplab v2

Intensive reading series of Li Mu's papers four: CLIP and improvement work series lectures (LSeg, GroupViT, VLiD, GLIPv1, GLIPv2, CLIPasso)

MOCO v2 "Improved Baselines with Momentum Contrastive Learning", a master of unsupervised comparative learning

[Self-supervised learning collection] 1: Intensive reading of moco code

Intensive reading of Li Mu's papers series five: DALL E2 (cross-talk on generative models, from GANs, VE/VAE/VQ-VAE/DALL E to diffusion model DDPM/ADM)

Intensive reading of Swin Transformer papers - station B up: learning AI explanation notes from Li Mu

Summary of DeepLab series (v1, v2, v3, v3+)

[Компьютерное зрение] Объяснение SimCLR v2

[Компьютерное зрение] Объяснение MoCo v2

Intensive Reading of YOLO Series Papers

# Overview of classic target detection and recognition methods RCNN/FAST/FASTER RCNN/MASK RCNN/SSD/DSSD/YOLO V1/YOLO V2, etc.

SimCLR v2 not reconciled to unsupervised comparative learning

Intensive reading of Li Mu's paper: ResNet "Deep Residual Learning for Image Recognition" by Kaiming He

【CNN】ShuffleNet series (V1, V2)

Hands-on deep learning V2 - Li Mu (problems encountered in learning)

02|Li Mu hands-on learning deep learning v2 (notes)

[Paper Intensive Reading 2] Detailed Explanation of MVSNet Series Papers-RMVSNet

[Hands-on Deep Learning v2 Li Mu] Study Notes 08: Discarding Method

[Hands-on Deep Learning v2 Li Mu] Study Notes 07: Weight Decay, Regularization

Learning: YOLO yolo v2 Series

Intensive reading of deep learning papers [8]: ParseNet

Intensive reading of deep learning papers [7]: nnUNet

Contrastive Study Series Papers

DeepLab v1、v2、v3

mobilenet v1 \ v2 \ v3

[Paper Reading] Intensive Reading of Timing Action Detection Series Papers (2019)

[Paper reading] Intensive reading of video comprehension series papers

[Paper reading] Intensive reading of time series motion detection papers (2017)

[Paper reading] Intensive reading of time series motion detection papers (2018)

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