Welcome to the second part of our series on vision transformer. In the previous post, we introduced the self-attention mechanism in detail from intuitive and mathematical points of view. We also ...
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How to build Chrome Dino game bot using OpenCV Feature Matching
The Chrome Dino game is a simple yet brilliant game that has infinite spawning obstacles with ever-increasing difficulty levels. The Dino T-rex needs to jump or duck to avoid hitting voids. The ...
Homography examples using OpenCV ( Python / C ++ )
Terms like "Homography" often remind me how we still struggle with communication. Homography is a simple concept with a weird name! In this post we will discuss Homography examples using OpenCV. ...
Inside Sinusoidal Position Embeddings: A Sense of Order
In the groundbreaking 2017 paper "Attention Is All You Need", Vaswani et al. introduced Sinusoidal Position Embeddings to help Transformers encode positional information, without recurrence or ...
Inside RoPE: Rotary Magic into Position Embeddings
Self-attention, the beating heart of Transformer architectures, treats its input as an unordered set. That mathematical elegance is also a curse: without extra signals, the model has no idea which ...
SimLingo: Vision-Language-Action Model for Autonomous Driving
SimLingo is a remarkable model that combines autonomous driving, language understanding, and instruction-aware control—all in one unified, camera-only framework. It not only delivered top rankings on ...