Methods › Computer Vision › Convolutional Neural Networks › EfficientNetV2
EfficientNetV2
Introduced by Mingxing Tan et al. in EfficientNetV2: Smaller Models and Faster Training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
EfficientNetV2 is a type convolutional neural network that has faster training speed and better parameter efficiency than previous models. To develop these models, the authors use a combination of training-aware neural architecture search and scaling, to jointly optimize training speed. The models were searched from the search space enriched with new ops such as Fused-MBConv.
Architecturally the main differences are:
- EfficientNetV2 extensively uses both MBConv and the newly added fused-MBConv in the early layers.
- EfficientNetV2 prefers smaller expansion ratio for MBConv since smaller expansion ratios tend to have less memory access overhead.
- EfficientNetV2 prefers smaller 3x3 kernel sizes, but it adds more layers to compensate the reduced receptive field resulted from the smaller kernel size.
- EfficientNetV2 completely removes the last stride-1 stage in the original EfficientNet, wperhaps due to its large parameter size and memory access overhead.
Papers archive 2025-07-28
30 shown of 43, 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.
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EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition 2 Jun 2025 · 1 repository
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Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population 29 May 2025 · 0 repositories · arXiv:2506.03177
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Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices 6 May 2025 · 0 repositories · arXiv:2505.03303
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Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora 4 May 2025 · 0 repositories · arXiv:2505.02147
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An improved EfficientNetV2 for garbage classification 27 Mar 2025 · 0 repositories · arXiv:2503.21208
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Deep Learning-based Compression Detection for explainable Face Image Quality Assessment 7 Jan 2025 · 2 repositories · arXiv:2501.03619
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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation 16 Dec 2024 · 0 repositories · arXiv:2412.11574
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A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis 12 Dec 2024 · 0 repositories · arXiv:2412.09472
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Multispecies Animal Re-ID Using a Large Community-Curated Dataset 7 Dec 2024 · 1 repository · arXiv:2412.05602
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Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability 29 Nov 2024 · 0 repositories · arXiv:2411.19514
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SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers 14 Nov 2024 · 1 repository · arXiv:2411.09420
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Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning 29 Oct 2024 · 0 repositories · arXiv:2410.22392
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Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification 22 Aug 2024 · 0 repositories · arXiv:2408.12426
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Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark 21 Aug 2024 · 1 repository · arXiv:2408.11589
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Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis 25 Jul 2024 · 0 repositories · arXiv:2407.17906
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Analysis of Modern Computer Vision Models for Blood Cell Classification 30 Jun 2024 · 1 repository · arXiv:2407.00759
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CNN Based Flank Predictor for Quadruped Animal Species 19 Jun 2024 · 0 repositories · arXiv:2406.13588
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CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls 4 May 2024 · 0 repositories · arXiv:2405.02548
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Managing Household Waste through Transfer Learning 27 Jan 2024 · 1 repository · arXiv:2402.09437
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Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI 22 Jan 2024 · 1 repository · arXiv:2401.11835
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Concrete Surface Crack Detection with Convolutional-based Deep Learning Models 13 Jan 2024 · 0 repositories · arXiv:2401.07124
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Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition 1 Jan 2024 · 1 repository · arXiv:2401.00964
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Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition 1 Jan 2024 · 1 repository · arXiv:2401.01388
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Trainwreck: A damaging adversarial attack on image classifiers 24 Nov 2023 · 1 repository · arXiv:2311.14772
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Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs 4 Oct 2023 · 0 repositories · arXiv:2310.02591
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Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning 21 Jul 2023 · 0 repositories · arXiv:2307.11532
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Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific Documents (Extended Version) 18 Jul 2023 · 2 repositories · arXiv:2307.09047
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UPSCALE: Unconstrained Channel Pruning 17 Jul 2023 · 1 repository · arXiv:2307.08771Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
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Building and Road Segmentation Using EffUNet and Transfer Learning Approach 8 Jul 2023 · 0 repositories · arXiv:2307.03980
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Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars 17 May 2023 · 0 repositories · arXiv:2305.10217
Tasks archive 2025-07-28
20 shown of 65 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