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 | 31 |
Tags
- opencv
- DP
- YoLO
- ubuntu
- C++
- MySQL
- image processing
- machine learning
- eecs 498
- NLP
- hm3dsem
- deep learning
- 강화학습
- r-cnn
- 딥러닝
- 백준
- Mask Processing
- Reinforcement Learning
- two-stage detector
- 머신러닝
- Python
- BFS
- AlexNet
- CNN
- LSTM
- 그래프 이론
- real-time object detection
- dfs
- hm3d
- dynamic programming
Archives
- Today
- Total
목록reverberant acoustic environments (1)
JINWOOJUNG
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Paperhttps://arxiv.org/abs/2402.01591 BAT: Learning to Reason about Spatial Sounds with Large Language ModelsSpatial sound reasoning is a fundamental human skill, enabling us to navigate and interpret our surroundings based on sound. In this paper we present BAT, which combines the spatial sound perception ability of a binaural acoustic scene analysis model witharxiv.org IntroductionBLIP-2, CLIP..
NLP, LLM, Multi-modal
2025. 7. 4. 12:17