분류 전체보기264 [2025-1] 김지원 - Mamba: Linear-Time Sequence Modeling with Selective State Spaces Mamba: Linear-Time Sequence Modeling with Selective State Spaces (2023)인용수: 2256 (25.02.23 기준)논문 링크 : https://arxiv.org/pdf/2312.00752https://blog.outta.ai/169 [2025-1] 김지원 - Efficiently Modeling Long Sequences with Structured State Spaces논문 링크 Efficiently Modeling Long Sequences with Structured State Spaces특징 : ICRL 2022 Outstanding Paper, 인용 수 1578회 (2025-01-25 기준)코드: https://github.com/state-.. 2025. 2. 23. [2025-1] 이루가 - Integrating Generative AI into Financial Market Prediction for Improved Decision Making 논문 링크: https://arxiv.org/abs/2404.03523 Integrating Generative AI into Financial Market Prediction for Improved Decision MakingThis study provides an in-depth analysis of the model architecture and key technologies of generative artificial intelligence, combined with specific application cases, and uses conditional generative adversarial networks ( cGAN ) and time series analysisarxiv.org Abstra.. 2025. 2. 23. [2025-1] 박서형 - DemoFusion: Democratising High-Resolution Image Generation With No $$$ https://arxiv.org/abs/2311.16973 DemoFusion: Democratising High-Resolution Image Generation With No $$$High-resolution image generation with Generative Artificial Intelligence (GenAI) has immense potential but, due to the enormous capital investment required for training, it is increasingly centralised to a few large corporations, and hidden behind paywallsarxiv.org 1. Abstracthigh-resolution im.. 2025. 2. 22. [2025-1] 임수연 - Mask R-CNN https://arxiv.org/abs/1703.06870 Mask R-CNNWe present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, calledarxiv.org안녕하세요, 이번 글에서는 Kaiming He의 Mask R-CNN(2017) 논문 리뷰를 해보도록 하겠습니다. 1. introductionObject Detect.. 2025. 2. 22. 이전 1 ··· 11 12 13 14 15 16 17 ··· 66 다음
