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
- pytorch
- 알고리즘
- 머신러닝
- cnn
- 논문
- Self-supervised
- opencv
- 옵티마이저
- object detection
- Ai
- Convolution
- 논문 리뷰
- Python
- 논문구현
- Semantic Segmentation
- 인공지능
- Computer Vision
- Paper Review
- 딥러닝
- 코딩테스트
- 파이썬
- ViT
- 논문리뷰
- optimizer
- programmers
- 프로그래머스
- 파이토치
- 코드구현
- transformer
- Segmentation
Archives
- Today
- Total
목록spatial pyramid pooling (1)
Attention please
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/BrwdS/btsmBg7Zmq6/JI6YcJW07Y1MmHjpKlwKQ0/img.png)
이번에 리뷰할 논문은 Spatial Pyramid Pooling in Deep ConvolutionalNetworks for Visual Recognition 입니다. https://paperswithcode.com/method/spatial-pyramid-pooling Papers with Code - Spatial Pyramid Pooling Explained Spatial Pyramid Pooling (SPP) is a pooling layer that removes the fixed-size constraint of the network, i.e. a CNN does not require a fixed-size input image. Specifically, we add an SPP layer o..
논문 리뷰/Object detection
2023. 7. 6. 10:25