Segment Anything Model (SAM) from Meta AI: model architecture, data engine, results and limitations
Meta AI recently introduce a foundational model for image segmentation called Segment Anything Model or SAM in short. This video explain the motivation for SAM, the model architecture, its novel SA-1B dataset and the results and limitations of zero-shot transfer learning.
Hope its useful.
segment anything website: https://segment-anything.com
segment anything code: https://github.com/facebookresearch/s...
segment anything demo: https://segment-anything.com/demo
SA-1B dataset: / segment-anything-downloads
⌚️ ⌚️ ⌚️ TIMESTAMPS ⌚️ ⌚️ ⌚️
0:00 - Foundational models in NLP
1:07 - Problem with Vision Models
2:01 - Prompting in Segmentation
2: 56 - SAM Model Architecture
5:15 - SAM Model Animation
6:15 - SAM Model Training (Data Engine)
9:21 - SA-1B Dataset
10:04 - Zero-Shot Transfer Learning Tasks
11:33 - Zero-Shot Transfer Learning Results
🧸 🧸 🧸 TOYS OF THE TRADE 🧸 🧸 🧸
📝 XP-Pen for my scribbles - https://amzn.to/3HNOpPH
⌨️🐭 My Keyboard & Mouse - https://amzn.to/3XKZ3wF
🖥 My Monitor - https://amzn.to/3YdVpvT
💻 My GPUs - https://amzn.to/3YE2aXX
🎤 My Mic - https://amzn.to/3YCdDHA
My work desk - https://amzn.to/3GWF1IP
🛠 🛠 🛠 MY SOFTWARE TOOLS 🛠 🛠 🛠
✍️ Notion - https://affiliate.notion.so/aibites-yt
✍️ Notion AI - https://affiliate.notion.so/ys9rqzv2vdd8
📹 OBS Studio for video editing - https://obsproject.com
📼 Manim for some animations - https://www.manim.community
📚 📚 📚 BOOKS I HAVE READ, REFER AND RECOMMEND 📚 📚 📚
📖 Deep Learning by Ian Goodfellow - https://amzn.to/3Wnyixv
📙 Pattern Recognition and Machine Learning by Christopher M. Bishop - https://amzn.to/3ZVnQQA
📗 Machine Learning: A Probabilistic Perspective by Kevin Murphy - https://amzn.to/3kAqThb
📘 Multiple View Geometry in Computer Vision by R Hartley and A Zisserman - https://amzn.to/3XKVOWi
MY KEY LINKS
YouTube: / @aibites
Twitter: / ai_bites
Patreon: / ai_bites
Github: https://github.com/ai-bites
WHO AM I?
I am a Machine Learning Researcher / Practioner who has seen the grind of academia and start-ups equally. I started my career as a software engineer 15 years back. Because of my love for Mathematics (coupled with a glimmer of luck), I graduated with a Master's in Computer Vision and Robotics in 2016 when the now happening AI revolution just started. Life has changed for the better ever since.
#machinelearning #deeplearning #aibites