🧠 Understanding SAM2 - SAM2 알아보기?!!
🦖 (English) 🧠 Understanding SAM2 🔍 A next-generation segmentation model with unified image & video support, real-time speed, and high accuracy! Paper: SAM 2: SEGMENT ANYTHING IN IMAGES AN...
🦖 (English) 🧠 Understanding SAM2 🔍 A next-generation segmentation model with unified image & video support, real-time speed, and high accuracy! Paper: SAM 2: SEGMENT ANYTHING IN IMAGES AN...
📝 Understanding Grounding DINO!! Studying 『Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection』 (ECCV, 2024) 📖 Paper Title: Grounding DINO: Marrying DINO with ...
AI에서 ‘Ground’란 무엇인가? GLIP부터 Grounding DINO, Grounding SAM, 그리고 Grounded Affordance까지! 🧾 ‘Ground’의 어원은 어디서 왔을까? 영어 단어 “ground”는 우리가 일상적으로 “땅”, “지면”, “기반” 같은 뜻으로 쓰고 있습니다. 하지만 Grounding DINO 등 AI연...
🦖 (English) Hands-On with Grounded SAM! Detect objects with DINO, then Segment with SAM! In this post, we’ll do a hands-on walkthrough of Grounding DINO + SAM = Grounded SAM! We’ll keep following ...
🧠 Healing Through Neuroscience and Psychology!! Reading *Devenez votre propre psy* 📖 Title: Devenez votre propre psy ✍️ Author: Anne-Hélène Clair, Vincent Tribou 🎯 Recommended for: Anyone experi...
🦖 (English) Grounding DINO Practice! Running the Evolved Model of DINO This post is a hands-on guide to the Grounding DINO, the evolved version of DINO! Just like DINO, we clone the model from Git...
(English) 🦖 DINO Practice: Running Object Detection with Pretrained Models! In the previous post, I studied the core ideas behind DINO!!! Now, let’s dive into actually installing the DINO model...
📖 시 한 편: 행복하다가 우리의 행복은 어디에서 비롯될까요? 맛있는 음식을 먹을 때, 좋은 음악을 들을 때도 행복하지만 결국 가장 오래 남는 건 ‘누군가와 함께한 순간들’입니다. 오늘 소개할 시 「행복하다가」는 그런 사람과의 관계 속에서 피어나는 짧지만 깊은 행복의 순간들을 담백하게, 그러나 울림 있게 그려냅니다. 📜 시: 행복하다가 ...
🦖 DINO: The Evolutionary Object Detection Model of DETR!! 🔍 A powerful alternative that solves the slow training and small object detection issues of DETR-based models! Paper: DINO: DETR with I...
(English) Object Detection with DETR! Python Practice!! In the previous post we studied DETR!! Today, based on this DETR model, we will directly perform Object Detection! Let’s start wit...