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Author: Master

March 31, 2025March 31, 2025Coding & Reference, The Others

Python – 코딩 테스트 주요 코드 모음

스택 큐 DFS (방문 -> 방문 안 한 이웃 확인 -> 반복) BFS (방문<큐에서 빼기> -> 방문 안 한 이웃 큐에 넣기 […]

March 26, 2025April 1, 2025Data Science, Paper Review

논문 리뷰 – Temporal 2D-Variation Modeling for General Time Series Analysis

TimesNet (ICLR 2023) 논문에 대해 간단하게 정리한 자료입니다. 푸리에 변환 (Fourier Transform)에 대해서도 간략하게 정리하였습니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2210.02186 TimesNet <PT 자료> […]

March 10, 2025March 10, 2025Data Science, Paper Review

논문 리뷰 – Can LLMs Understand Time Series Anomalies?

Can LLMs Understand Time Series Anomalies? (ICLR 2025) 논문에 대해 간단하게 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://openreview.net/pdf?id=LGafQ1g2D2 Can LLMs Understand Time Series […]

October 23, 2024December 5, 2024My Project

VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection (ACCV 2024)

This research paper is accepted at the ACCV conference in 2024 and also serves as master’s degree graduation thesis. Title: VideoPatchCore: An Effective […]

September 8, 2024September 8, 2024Data Science, Paper Review

논문 리뷰 – Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts

InCTRL (CVPR 2024) 논문에 대해 간단하게 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2403.06495 InCTRL <PT 자료> <PT 자료 – PDF> <간단 정리 – […]

July 23, 2024August 9, 2024Data Science, Reference

DATADOG – LLM Observability 플랫폼 조사

DATADOG에서 운영하는 LLM Observability 플랫폼에 대해 간략하게 조사한 자료입니다. [참조]1. Datadog Site: https://docs.datadoghq.com/ko/llm_observability/2. Datadog GitHub: https://github.com/DataDog/llm-observability [제작]연세대학교 컴퓨터과학과 DELAB – Multi Modal […]

July 17, 2024July 17, 2024Data Science, Paper Review

논문 리뷰 – AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

AnomalyGPT (AAAI 2024) 논문에 대해 간단하게 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2308.15366 AnomalyGPT <PT 자료> <PT 자료 – PDF>

July 12, 2024July 12, 2024Data Science, Paper Review

논문 리뷰 – Harnessing Large Language Models for Training-free Video Anomaly Detection

연세대학교 ‘최신컴퓨터비전동향’ 수업에서 진행한 발표 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2404.01014 Harnessing Large Language Models for Training-free Video Anomaly Detection <PT 자료> <PT […]

June 12, 2024April 29, 2025Data Science, Reference

Anomaly Detection과 AUROC

클래스 불균형이 심한 Anomaly Detection에서는 다수 클래스(i.e. 정상)에 해당하는 데이터만 잘 예측하는 경향이 있다. 정확도(Accuracy)는 클래스 비율을 고려하지 않기 때문에, 소수 클래스(i.e. […]

June 6, 2024June 6, 2024Data Science, Paper Review

논문 리뷰 – CONVOLUTION MEETS LORA: PARAMETER EFFICIENT FINETUNING FOR SEGMENT ANYTHING MODEL

ConvLoRA (ICLR 2024) 논문에 대해 간단하게 정리한 자료입니다. LoRA (ICLR 21)와 SAM (ICCV 23)에 대해서도 간략하게 정리하였습니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://openreview.net/pdf?id=ezscMer8L0 CONVOLUTION […]

Posts pagination

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Recent Posts

  • Python – 코딩 테스트 주요 코드 모음
  • 논문 리뷰 – Temporal 2D-Variation Modeling for General Time Series Analysis
  • 논문 리뷰 – Can LLMs Understand Time Series Anomalies?
  • VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection (ACCV 2024)
  • 논문 리뷰 – Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts

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