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Methods › Computer Vision › Pooling Operations › Spatial Pyramid Pooling

Spatial Pyramid Pooling

285 papers tagged archive 2025-07-28

Introduced by Kaiming He et al. in Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

** 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 on top of the last convolutional layer. The SPP layer pools the features and generates fixed-length outputs, which are then fed into the fully-connected layers (or other classifiers). In other words, we perform some information aggregation at a deeper stage of the network hierarchy (between convolutional layers and fully-connected layers) to avoid the need for cropping or warping at the beginning.

PaperSourceSee Code · yueruchen/sppnet-pytorch

Papers archive 2025-07-28

30 shown of 285, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 262 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Semantic Segmentation102
Object Detection86
object-detection79
Segmentation75
Object41
Image Segmentation37
Decoder27
Image Classification19
image-classification17
Instance Segmentation14
Autonomous Driving13
Data Augmentation13
GPU13
Medical Image Segmentation13
Real-Time Object Detection13
Deep Learning12
Transfer Learning11
Classification10
General Classification9
Domain Adaptation8

Usage over time archive 2025-07-28

Papers per year tagged with Spatial Pyramid Pooling: 2014 to 2025, peak 57 57 0 2014: 3 papers 2014 2015: 1 paper 2015 2016: 4 papers 2016 2017: 1 paper 2017 2018: 14 papers 2018 2019: 27 papers 2019 2020: 43 papers 2020 2021: 49 papers 2021 2022: 57 papers 2022 2023: 46 papers 2023 2024: 25 papers 2024 2025: 15 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (285 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Pooling Operations

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