Methods › Computer Vision › Image Model Blocks › One-Shot Aggregation

One-Shot Aggregation

11 papers tagged archive 2025-07-28

Introduced by Youngwan Lee et al. in An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

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

One-Shot Aggregation is an image model block that is an alternative to Dense Blocks, by aggregating intermediate features. It is proposed as part of the VoVNet architecture. Each convolution layer is connected by two-way connection. One way is connected to the subsequent layer to produce the feature with a larger receptive field while the other way is aggregated only once into the final output feature map. The difference with DenseNet is that the output of each layer is not routed to all subsequent intermediate layers which makes the input size of intermediate layers constant.

PaperSourceSee Code · osmr/imgclsmob

Papers archive 2025-07-28

11 shown of 11, 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 26 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
Object Detection4
Semantic Segmentation4
Real-Time Object Detection3
Segmentation3
object-detection3
Instance Segmentation2
2D Object Detection1
3D Architecture1
3D Object Detection1
Action Recognition1
Binary Classification1
Defect Detection1
Face Detection1
Federated Learning1
GPU1
General Classification1
Medical Diagnosis1
Medical Object Detection1
Navigate1
Panoptic Segmentation1

Usage over time archive 2025-07-28

Papers per year tagged with One-Shot Aggregation: 2019 to 2024, peak 3 3 0 2019: 2 papers 2019 2020: 2 papers 2020 2021: 1 paper 2021 2022: 2 papers 2022 2023: 3 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (11 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

Image Model BlocksSkip Connection Blocks

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