CVPR 23
- 🧩 AVA-Bench: Vision Foundation Model의 원자적 시각 능력 평가하기 (CVPR 2026)
- 🔍LocalizationHeads - LVLM을 활용하여 Training-Free로 Segmentation 하기!! (CVPR 2025)
- 🐍 Reasoning Mamba: Hypergraph 기반 추론으로 Weakly Supervised Affordance Grounding 강화!
- 🎥 LAVAD: Training-Free Video Anomaly Detection with LLMs
- 📍 GEM: Grounding Everything in Vision-Language Transformers
- 🔎 Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
- 🧩 Segment Anything, Even Occluded (SAMEO): 가려진 부분까지 세그멘트하는 SAM 확장
- 🧠 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything — 실전형 SAM의 표준
- 🧠 OSrCIR: Reason-before-Retrieve for Composed Image Retrieval
- 🧠 FashionIQ - Fashion Image Retrieval with Natural Language: 패션 이미지 검색의 새로운 표준
- 🧠 Notes-guided MLLM Reasoning
- 📌 LOCATE: Weakly Supervised Affordance Grounding을 위한 Object Part Localization & Transfer
- 🔗 Understanding GLIP - CLIP이해하기!!!
- 📝Understanding YOLO-World - 실시간 Open-Vocabulary Object Detection의 혁신!!!
- 📝Understanding YOLO - YOLO 알아보기?!!
- 🖥️ SEEM Practice!! - SEEM 실습!! with python. gradio
- 📝 Understanding LISA - LISA 알아보기?!!
- 🖥️ LISA Practice!! - Reasoning Segmentation LLM LISA 실습!!
- 🖥️ Object Detection with DETR! Python Practice!! - DETR을 활용한 객체 탐지! 파이썬 실습!!
- 📝 The First Transformer-based Image Detection Model!! DETR! - Transformer로 객채 탐지까지!! DETR의 등장!! (CVPR 2020)
- 🖥️ Studying CAM with Python! - 파이썬으로 CAM 공부하기
- 📝 Peeking into the Mind of AI: Understanding CAM! - AI의 속마음을 들여다본다!! CAM 알아보기
- Exploring Major Journals in AI - AI와 관련된 주요 저널 알아보기 (feat. h-index)