Max Pooling
Description
Max Pooling is a pooling operation that calculates the maximum 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.
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Papers Using This Method
From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions2025-07-09LMPNet for Weakly-supervised Keypoint Discovery2025-07-03Determination Of Structural Cracks Using Deep Learning Frameworks2025-07-03DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding2025-06-26Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry2025-06-22Detecting immune cells with label-free two-photon autofluorescence and deep learning2025-06-17Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection2025-06-14SecONNds: Secure Outsourced Neural Network Inference on ImageNet2025-06-13Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code2025-06-12MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment2025-06-12Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation2025-06-12Prompt-Guided Latent Diffusion with Predictive Class Conditioning for 3D Prostate MRI Generation2025-06-11MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion2025-06-10Circumventing Backdoor Space via Weight Symmetry2025-06-09A Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts2025-06-09Diffusion Models-Aided Uplink Channel Estimation for RIS-Assisted Systems2025-06-09A Comparative Study of U-Net Architectures for Change Detection in Satellite Images2025-06-09MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection2025-06-08U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation2025-06-05Deep histological synthesis from mass spectrometry imaging for multimodal registration2025-06-05