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Receptive Field Block

RFB

8 papers tagged archive 2025-07-28

Introduced by Songtao Liu et al. in Receptive Field Block Net for Accurate and Fast Object Detection

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

Receptive Field Block (RFB) is a module for strengthening the deep features learned from lightweight CNN models so that they can contribute to fast and accurate detectors. Specifically, RFB makes use of multi-branch pooling with varying kernels corresponding to RFs of different sizes, applies dilated convolution layers to control their eccentricities, and reshapes them to generate final representation.

PaperSourceSee Code · ruinmessi/RFBNet

Papers archive 2025-07-28

8 shown of 8, 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

15 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 Detection3
Real-Time Object Detection2
object-detection2
BIG-bench Machine Learning1
CPU1
Clustering1
Data Augmentation1
Defect Detection1
Face Detection1
Image Super-Resolution1
Insulator Defect Detection1
Object1
Semantic Segmentation1
Super-Resolution1
model1

Usage over time archive 2025-07-28

Papers per year tagged with RFB: 2017 to 2025, peak 2 2 0 2017: 1 paper 2017 2018: 0 papers 2018 2019: 2 papers 2019 2020: 2 papers 2020 2021: 2 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (8 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

Feature Extractors

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