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[논문 리뷰] VERA: Explainable Video Anomaly Detection via Verbalized Learning ofVision-Language Models(2025)

이번에 리뷰할 논문은 VERA: Explainable Video Anomaly Detection via Verbalized Learning ofVision-Language Models 입니다.https://arxiv.org/abs/2412.01095 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language ModelsThe rapid advancement of vision-language models (VLMs) has established a new paradigm in video anomaly detection (VAD): leveraging VLMs to simultaneously detect anomal..
논문 리뷰/Anomaly Detection 2025. 9. 20. 19:38
[논문 리뷰] Follow the Rules: Reasoning for Video AnomalyDetection with Large Language Models(2024)

이번에 리뷰할 논문은 Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models 입니다.https://arxiv.org/abs/2407.10299 Follow the Rules: Reasoning for Video Anomaly Detection with Large Language ModelsVideo Anomaly Detection (VAD) is crucial for applications such as security surveillance and autonomous driving. However, existing VAD methods provide little rationale behind detection,..
논문 리뷰/Anomaly Detection 2025. 8. 20. 15:41
[논문 리뷰] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs viaReinforcement Learning (2025)

이번에 리뷰할 논문은 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning 입니다.https://arxiv.org/abs/2501.12948 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningWe introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised f..
논문 리뷰/Large Language Model 2025. 7. 17. 17:04
[논문 리뷰] ANOLE: AnOpen,Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation (2024)

이번에 리뷰할 논문은 ANOLE: AnOpen,Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation 입니다. [2407.06135] ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text GenerationPrevious open-source large multimodal models (LMMs) have faced sever..
논문 리뷰/Vision-Language model 2025. 3. 20. 11:50
[논문 리뷰] Imagine while Reasoning in Space:Multimodal Visualization-of-Thought (2025)

이번에 리뷰할 논문은 Imagine while Reasoning in Space: Multimodal Visualization-of-Thought 입니다. https://arxiv.org/abs/2501.07542 Imagine while Reasoning in Space: Multimodal Visualization-of-ThoughtChain-of-Thought (CoT) prompting has proven highly effective for enhancing complex reasoning in Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs). Yet, it struggles in complex spatial r..
논문 리뷰/Vision-Language model 2025. 3. 14. 15:46
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