Series Path · 10 parts
DINO Self-Supervised Learning
Self-supervised vision learning from first principles through the DINO family — student-teacher training, DINOv1 to DINOv3, TIPS pretraining, and language-grounded detection.
Curriculum — 10 parts
- 01
Self-Supervised Learning: Training AI Without Labels
Machine learning has traditionally relied on vast amounts of labeled data to train models effectively. However, acquiring high-quality labeled datasets is…
8 min read - 02
Student-Teacher Network Training Guide in PyTorch
Student-teacher networks, also known as knowledge distillation, involve training a smaller “student” model to mimic the behavior of a larger, pre-trained…
8 min read - 03
DINO: Emerging Properties in Self-Supervised Vision Transformers
In 2021, Facebook AI Research (now Meta AI) introduced DINO (Self-Distillation with No Labels), a groundbreaking approach to self-supervised learning in…
5 min read - 04
DINOv2: Comprehensive Implementation Guide
DINOv2 is a state-of-the-art self-supervised vision model developed by Meta AI Research that builds upon the original DINO (Self-Distillation with No Labels)…
9 min read - 05
DINOv2: A Deep Dive into Architecture and Training
In 2023, Meta AI Research unveiled DINOv2 (Self-Distillation with No Labels v2), a breakthrough in self-supervised visual learning that produces remarkably…
4 min read - 06
DINOv2 Student-Teacher Network Training Guide
This guide provides a complete implementation for training a DINOv2 (DINO version 2) student-teacher network from scratch using PyTorch. DINOv2 is a…
8 min read - 07
Complete Guide to DINOv3: Self-Supervised Vision Transformers
DINOv3 represents a breakthrough in computer vision, offering the first truly universal vision backbone that achieves state-of-the-art performance across…
10 min read - 08
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
Vision-language models (VLMs) have become a cornerstone of modern computer vision and multimodal AI. Systems like CLIP, SigLIP, ALIGN, and their descendants…
20 min read - 09
Mathematics Behind Grounding DINO
Grounding DINO (Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection) is a state-of-the-art open-set object detection model…
4 min read - 10
Grounding DINO Implementation Guide
Grounding DINO is a state-of-the-art open-set object detection model that combines language understanding with visual detection. It can detect and localize…
7 min read