๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#Vision-Language Models

Adapting Vision-Language Models for E-commerce Understanding at Scale

Beginner
Matteo Nulli, Vladimir Orshulevich et al.Feb 12arXiv

This paper shows a simple, repeatable way to teach general Vision-Language Models (VLMs) to understand e-commerce items much better without forgetting their general skills.

#Vision-Language Models#E-commerce adaptation#Attribute extraction

Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems

Beginner
Song Wang, Lingdong Kong et al.Dec 30arXiv

Robots like cars and drones see the world with many different sensors (cameras, LiDAR, radar, and even event cameras), and this paper shows a clear roadmap for teaching them to understand space by learning from all of these together.

#Spatial Intelligence#Multi-Modal Pre-Training#Self-Supervised Learning