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dilated convolution

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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 21, 2023 · Artificial Intelligence

Problems and Solutions in Semantic Segmentation: An Overview of DeepLabV1

This article explains the two main challenges of applying deep convolutional neural networks to semantic segmentation—signal down‑sampling and loss of spatial precision—and describes how the DeepLabV1 architecture, using dilated convolutions, large‑field‑of‑view modules, fully‑connected CRF and multi‑scale fusion, addresses these issues while achieving faster, more accurate segmentation results.

CRFDeepLabV1Semantic segmentation
0 likes · 12 min read
Problems and Solutions in Semantic Segmentation: An Overview of DeepLabV1
Python Programming Learning Circle
Python Programming Learning Circle
Jan 8, 2020 · Artificial Intelligence

How Dilated Convolutions Preserve Image Size While Expanding Receptive Field

This article explains the concept, mathematics, and practical PyTorch implementation of dilated (or atrous) convolutions, showing how to keep image dimensions unchanged while dramatically increasing the receptive field and discussing their advantages and typical applications.

PyTorchdeep learningdilated convolution
0 likes · 4 min read
How Dilated Convolutions Preserve Image Size While Expanding Receptive Field