Methods › Computer Vision › Convolutional Neural Networks › VoVNet

VoVNet

5 papers tagged archive 2025-07-28

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

VoVNet is a convolutional neural network that seeks to make DenseNet more efficient by concatenating all features only once in the last feature map, which makes input size constant and enables enlarging new output channel. In the Figure to the right, F represents a convolution layer and ⊗ indicates concatenation.

Source: An Energy and GPU-Computation Efficient Backbone Network...See Code · osmr/imgclsmob

Papers archive 2025-07-28

5 shown of 5, 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.

A new method for optical steel rope non-destructive damage detection
6 Feb 2024 · 0 repositories · arXiv:2402.03843
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
18 Nov 2022 · 2 repositories · arXiv:2211.10439

Syntology ran 0 of 1 samples · 1 unverified
Intelligent detect for substation insulator defects based on CenterMask
31 Aug 2022 · 0 repositories · arXiv:2208.14598
CenterMask : Real-Time Anchor-Free Instance Segmentation
15 Nov 2019 · 8 repositories · arXiv:1911.06667

Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
22 Apr 2019 · 12 repositories · arXiv:1904.09730

Tasks archive 2025-07-28

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

Task	Papers
Object Detection	2
Real-Time Object Detection	2
Segmentation	2
Semantic Segmentation	2
3D Object Detection	1
Defect Detection	1
GPU	1
Instance Segmentation	1
Panoptic Segmentation	1
Real-time Instance Segmentation	1
Semi-Supervised Instance Segmentation	1
Small Object Detection	1
object-detection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (5 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

Convolutional Neural Networks

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