Pyramid Representation
Pyramid Representation is a multi-scale image representation method that organizes visual information in a hierarchical structure of progressively reduced resolutions, distinguishing itself by enabling efficient analysis through repeated smoothing and subsampling to capture features at multiple spatial scales.
569
Publications
81.1K
Citations
1.6K
Authors
561
Institutions
Publications per year
2017–2026
220
Variants
Pyramid Representations
Parents
569
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick et al. · 2017 · 28.7K citations
Hierarchical Convolutional Features for Visual Tracking
Chao Ma, Jia‐Bin Huang, Xiaokang Yang et al. · 2015 · 1.9K citations
1–5 of 569
1.6K
9
h-index
Massachusetts Institute of Technology, United States
7 publications · 10.5K citations
8
h-index
Massachusetts Institute of Technology, United States
6 publications · 5.1K citations
6
h-index
6
h-index
6
h-index
1–5 of 1.6K
561

Chinese Academy of Sciences
Beijing, China
17 h-index
50 publications
1.4K citations
University of Chinese Academy of Sciences
Beijing, China
14 h-index
31 publications
1.5K citations
University of Maryland, College Park
College Park, United States
12 h-index
33 publications
1.4K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
20 publications
2.4K citations

Xidian University
Xi'an, China
10 h-index
28 publications
1.8K citations

Harbin Institute of Technology
Harbin, China
10 h-index
23 publications
1.1K citations

University of Electronic Science and Technology of China
Chengdu, China
9 h-index
24 publications
1.6K citations
Tsinghua University
Beijing, China
9 h-index
20 publications
826 citations
1–8 of 561
33 publications · 2.9K citations
26
h-index
Repository · 19 publications · 1.3K citations
15
h-index
TPAMI · 13 publications · 4.9K citations
13
h-index
12 publications · 288 citations
13
h-index
15 publications · 591 citations
12
h-index
1–5