Computer Vision Papers
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DINOv2 from Meta AI – Finally a Foundational Model in Computer Vision
DINOv2 by Meta AI finally gives us a foundational model for computer vision. We’ll explain what it means and why DINOv2 can count as such…
I-JEPA: The First Human-Like Computer Vision Model
Dive into I-JEPA, Image-based Joint-Embedding Predictive Architecture, the first model based on Yann LeCun’s vision for a more human-like AI…
Consistency Models – Optimizing Diffusion Models Inference
Consistency models are a new type of generative models which were introduced by Open AI, and in this post we will dive into how they work…
From Sparse to Soft Mixture of Experts
In this post we review Google DeepMind’s paper that introduces Soft Mixture of Experts, a fully-differentiable sparse Transformer…
What is YOLO-NAS and How it Was Created
YOLO-NAS is an object detection model with the best accuracy-latency tradeoff to date. In this post we explain how it was created…
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