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
- 생활코딩
- Apache
- Selenium
- 셀레니움
- aws
- 프로그램새내기를위한자바언어프로그래밍
- Lamp
- Crawling
- 머신러닝
- 딥러닝
- 한빛미디어
- 밑바닥부터시작하는딥러닝2
- MySQL
- 밑바닥부터시작하는딥러닝
- word2vec
- 한빛아카데미
- AndroidStudio를활용한안드로이드프로그래밍
- 크롤링
- deeplearning
- 논문리뷰
- CBOW
- 예제중심HTML&자바스크립트&CSS
- 비지도학습
- 컴파일설치
- attention
- jupyter
- 가비아
- 수동설치
- image
- 소스설치
Archives
- Today
- Total
목록Pyramid (1)
안녕, 세상!
EPSANet : An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network 정리
Abstract EPSANet Novel lightweight and effective attention method Replacing the 3x3 convolution with the PSA module in the bottleneck blocks of the ResNet Be developed by stacking ResNet-style EPSA blocks Strong multi-scale representation ability for various computer vision tasks Outperforming most of the state-of-the-art channel attention methods Introduction Specifically two types of attention..
It공부/딥러닝논문리뷰
2022. 2. 21. 12:30