Methods › Computer Vision › Pooling Operations › Average Pooling
Average Pooling
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Average Pooling is a pooling operation that calculates the average value for patches of a feature map, and uses it to create a downsampled (pooled) feature map. It is usually used after a convolutional layer. It adds a small amount of translation invariance - meaning translating the image by a small amount does not significantly affect the values of most pooled outputs. It extracts features more smoothly than Max Pooling, whereas max pooling extracts more pronounced features like edges.
Image Source: here
Papers archive 2025-07-28
30 shown of 5,125, 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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Circumventing Backdoor Space via Weight Symmetry 9 Jun 2025 · 1 repository · arXiv:2506.07467
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Synthetic Speech Source Tracing using Metric Learning 3 Jun 2025 · 0 repositories · arXiv:2506.02590
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PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge 31 May 2025 · 0 repositories · arXiv:2506.00438
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ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation 30 May 2025 · 0 repositories · arXiv:2505.24481
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Optimal Weighted Convolution for Classification and Denosing 30 May 2025 · 2 repositories · arXiv:2505.24558
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Stepsize anything: A unified learning rate schedule for budgeted-iteration training 30 May 2025 · 0 repositories · arXiv:2505.24452
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Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition 29 May 2025 · 0 repositories · arXiv:2505.22985
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Calibrated Value-Aware Model Learning with Stochastic Environment Models 28 May 2025 · 0 repositories · arXiv:2505.22772
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Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification 28 May 2025 · 0 repositories · arXiv:2505.22551
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Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification 28 May 2025 · 0 repositories · arXiv:2505.22926
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Intelligent Incident Hypertension Prediction in Obstructive Sleep Apnea 27 May 2025 · 0 repositories · arXiv:2505.20615
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Improvement Strategies for Few-Shot Learning in OCT Image Classification of Rare Retinal Diseases 26 May 2025 · 0 repositories · arXiv:2505.20149
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Lung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures 26 May 2025 · 0 repositories
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Structured Initialization for Vision Transformers 26 May 2025 · 0 repositories · arXiv:2505.19985
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Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement 26 May 2025 · 0 repositories · arXiv:2505.19895
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Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet 24 May 2025 · 0 repositories · arXiv:2505.18725
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Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems 24 May 2025 · 0 repositories · arXiv:2505.18857
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SW-ViT: A Spatio-Temporal Vision Transformer Network with Post Denoiser for Sequential Multi-Push Ultrasound Shear Wave Elastography 24 May 2025 · 0 repositories · arXiv:2505.18865
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DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer 23 May 2025 · 1 repository · arXiv:2505.17528
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Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection 23 May 2025 · 1 repository · arXiv:2505.17683
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EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion 23 May 2025 · 0 repositories · arXiv:2505.17367
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The Cell Must Go On: Agar.io for Continual Reinforcement Learning 23 May 2025 · 1 repository · arXiv:2505.18347
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Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting 22 May 2025 · 0 repositories · arXiv:2505.16513
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Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare 22 May 2025 · 0 repositories · arXiv:2505.16190
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SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models 22 May 2025 · 0 repositories · arXiv:2505.16318
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An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI 21 May 2025 · 0 repositories · arXiv:2505.16033
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An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection 21 May 2025 · 0 repositories · arXiv:2505.16039
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Analysis of ABC Frontend Audio Systems for the NIST-SRE24 21 May 2025 · 0 repositories · arXiv:2505.15320
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Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI 21 May 2025 · 0 repositories · arXiv:2505.16028
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Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers 21 May 2025 · 0 repositories · arXiv:2505.15239
Tasks archive 2025-07-28
20 shown of 1,215 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 |
|---|---|
| Image Classification | 716 |
| image-classification | 551 |
| Object Detection | 537 |
| object-detection | 476 |
| Semantic Segmentation | 448 |
| Transfer Learning | 380 |
| General Classification | 349 |
| Classification | 342 |
| Segmentation | 291 |
| Object | 239 |
| Data Augmentation | 223 |
| Deep Learning | 211 |
| Self-Supervised Learning | 178 |
| Representation Learning | 171 |
| Contrastive Learning | 166 |
| GPU | 157 |
| Quantization | 149 |
| Neural Architecture Search | 138 |
| Reinforcement Learning (RL) | 128 |
| Diagnostic | 119 |
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