Канал: Mak Gaiduk

CoDETR - SOTA object detection with transformers

CoDETR - SOTA object detection with transformers

Multiple Object Tracking Metrics - MOTA, IDF1, HOTA. Algorithm and source code reading

Multiple Object Tracking Metrics - MOTA, IDF1, HOTA. Algorithm and source code reading

Reading MOTR source code

Reading MOTR source code

MOTR - Object Tracking with Transformers

MOTR - Object Tracking with Transformers

Reading Trackformer source code

Reading Trackformer source code

Trackformer - Multi-Object Tracking with Transformers

Trackformer - Multi-Object Tracking with Transformers

Reading Grounding Dino source code

Reading Grounding Dino source code

Grounding Dino for open set object detection

Grounding Dino for open set object detection

Reading BERT source code

Reading BERT source code

Reading DINO source code - DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reading DINO source code - DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reading GPT-2 source code

Reading GPT-2 source code

DINO - DETR with Improved DeNoising AnchorBoxes for End-to-End Object Detection

DINO - DETR with Improved DeNoising AnchorBoxes for End-to-End Object Detection

Reading SWIN transformer source code - Image Recognition with Transformers

Reading SWIN transformer source code - Image Recognition with Transformers

SWIN transformer (image recognition)

SWIN transformer (image recognition)

Reading ViT (Vision Transformer) PyTorch source code

Reading ViT (Vision Transformer) PyTorch source code

Vision Transformer (ViT)

Vision Transformer (ViT)

Reading DN Detr source code (Detr with Denoising Queries)

Reading DN Detr source code (Detr with Denoising Queries)

DN Detr (Denoising Detr for object detection)

DN Detr (Denoising Detr for object detection)

Reading DAB Detr source code

Reading DAB Detr source code

DAB Detr (dynamic anchor boxes)

DAB Detr (dynamic anchor boxes)

Reading Deformable DETR source code

Reading Deformable DETR source code

GenAI series 1: Neural Style Transfer

GenAI series 1: Neural Style Transfer

Deformable DETR

Deformable DETR

Reading the source code for DETR (object detection with transformers)

Reading the source code for DETR (object detection with transformers)

Object Detection with Transformers (DETR)

Object Detection with Transformers (DETR)

YOLO object detection explained

YOLO object detection explained

Reading the source code of YOLOv5 object detection model

Reading the source code of YOLOv5 object detection model

Introducing the Object Detection Task, CoCo dataset and mAP metric

Introducing the Object Detection Task, CoCo dataset and mAP metric

Training a ResNet network on Imagenet dataset

Training a ResNet network on Imagenet dataset

Going Deeper. Residual Connections, Batch Normalization, Kaiming Initialization

Going Deeper. Residual Connections, Batch Normalization, Kaiming Initialization

Optimizers in Deep Neural Networks

Optimizers in Deep Neural Networks

Parameter initialization and activation function saturation visualisation in Tensorboard

Parameter initialization and activation function saturation visualisation in Tensorboard

Xavier Glorot, 2010 paper read: Xavier initialization, activation function saturation

Xavier Glorot, 2010 paper read: Xavier initialization, activation function saturation

Convolutions in Neural Networks

Convolutions in Neural Networks

Cross Entropy loss explained

Cross Entropy loss explained

Digit classification with PyTorch

Digit classification with PyTorch

Computer Vision: Zero to Hero. Introduction

Computer Vision: Zero to Hero. Introduction