DETR - Explained!
Summary
This video provides an in-depth explanation of Detection Transformers (DETR), detailing its fundamental concepts, training methodologies, and comparative analysis with models like Faster R-CNN. It is highly relevant for students and educators who are learning or teaching advanced AI/ML concepts, especially in the field of computer vision and deep learning.
Description
In this video, we take a look at Detection Transformers (DETR). What is it? Why do we have it? How do we train it? How does it compare to Faster R-CNN? ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/ RESOURCES [1 📚] Main Paper: https://arxiv.org/pdf/2005.12872 [2 📚] Slides: https://link.excalidraw.com/p/readonly/1OzfsMt78e1BuqDMBYJO [3 📚] My video on resnet: https://youtu.be/gyhCfjixLV0?si=N-NTU4Y4228KOUSt [4 📚] Video on the transformer architecture: https://youtu.be/TQQlZhbC5ps?si=rACu5O4FGRKQwaKl [5 📚] Playlist of Transformers from scratch: https://youtu.be/QCJQG4DuHT0?si=UllVN6odQKC-nsvb PLAYLISTS FROM MY CHANNEL ⭕ Reinforcement Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9kS--NgVz0EPNyEmygV1Ha&si=AuThDZJwG19cgTA8 Natural Language Processing: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE&si=LsVy8RDPu8jeO-cc ⭕ Transformers from Scratch: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE ⭕ ChatGPT Playlist: https://youtube.com/playlist?list=PLTl9hO2Oobd9coYT6XsTraTBo4pL1j4HJ ⭕ Convolutional Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd9U0XHz62Lw6EgIMkQpfz74 ⭕ The Math You Should Know : https://youtube.com/playlist?list=PLTl9hO2Oobd-_5sGLnbgE8Poer1Xjzz4h ⭕ Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd82vcsOnvCNzxrZOlrz3RiD MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML 📕 Calculus: https://imp.i384100.net/Calculus 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStatistics 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra 📕 Pr
