반응형
250x250
Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 |
Tags
- polling-based object probing evaluation
- vlm 환각이란
- evaluating object hallucination in large vision-language models
- 엔트로피란
- clip adapter
- 딥러닝 엔트로피
- 객체 검출
- 이미지 필터링
- vlm
- 논문 요약
- 에지 검출
- evaluating object hallucination in large vision-language models 논문
- vlm hallucination paper
- 원격 학습 안끊기게
- 기계학습
- Object detection article
- mobilenetv1
- vlm 환각
- vlm hallucination
- dinov2 논문 리뷰
- dinov2: learning robust visual features without supervision 논문
- 논문 리뷰
- 딥러닝 목적함수
- object detection
- blip-2
- dinov2: learning robust visual features without supervision
- clip
- dinov2: learning robust visual features without supervision 논문 리뷰
- 1차 미분 마스크
- evaluating object hallucination in large vision-language models paper
Archives
- Today
- Total
목록deepseek r1 (1)
My Vision, Computer Vision
[논문 요약/리뷰] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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 fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoninarxiv.orgAbstract본 논문에서는 DeepSeek-R1-Zero와 DeepSeek-R1이라는 모델..
Paper
2025. 2. 4. 17:11