Methods › Computer Vision › Convolutional Neural Networks › Inception v2
Inception v2
Introduced by Sergey Ioffe et al. in Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Inception v2 is the second generation of Inception convolutional neural network architectures which notably uses batch normalization. Other changes include dropping dropout and removing local response normalization, due to the benefits of batch normalization.
Papers archive 2025-07-28
15 shown of 15, 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.
-
Data Fusion of Semantic and Depth Information in the Context of Object Detection 4 Dec 2024 · 0 repositories · arXiv:2412.03490
-
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 13 Aug 2023 · 1 repository · arXiv:2308.06748Syntology ran 6 of 11 samples · 5 unverified
-
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse 2 Sep 2021 · 0 repositories · arXiv:2109.00810
-
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic 5 Jan 2021 · 0 repositories · arXiv:2101.01373
-
Lane Change For System-Driven Vehicles Using Dynamic Information 1 Oct 2020 · 0 repositories
-
Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning 30 Sep 2020 · 0 repositories
-
Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning 30 Sep 2020 · 0 repositories
-
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models 19 May 2020 · 0 repositories · arXiv:2005.09294
-
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning 25 Apr 2020 · 0 repositories · arXiv:2004.11909
-
Identifying Individual Dogs in Social Media Images 14 Mar 2020 · 0 repositories · arXiv:2003.06705
-
Traffic Signs Detection and Recognition System using Deep Learning 6 Mar 2020 · 0 repositories · arXiv:2003.03256
-
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets 14 Feb 2020 · 4 repositories · arXiv:2002.05990Syntology ran 3 of 9 samples · 6 unverified
-
AI-based Pilgrim Detection using Convolutional Neural Networks 18 Nov 2019 · 0 repositories · arXiv:1911.07509
-
Inception-inspired LSTM for Next-frame Video Prediction 28 Aug 2019 · 2 repositories · arXiv:1909.05622
-
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 · 70 repositories · arXiv:1502.03167Syntology ran 14 of 21 samples · 7 unverified · 5 pointer-only (licence)
Tasks archive 2025-07-28
20 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections