Core Methodology

Semantic-Guided Low-Light Image Enhancement

168

•

311

Apache-2.0

Image-to-Image

PyTorch

English

Opened about 10 months ago

by @trassi-5055

@trassi-505510 months ago

I was wondering, what advantages does using depthwise separable convolutions bring to illumination factor extraction?

I'd love to hear your thoughts! 🤝

@brian-ai-689910 months ago

Hi @trassi-5055! That's sound great!
Basically, as far as i know, depthwise separable convolutions drastically cut down on parameter count and computation by factoring a standard convolution into channel-wise and pointwise operations. This accelerates inference, which is crucial for real-time or mobile scenarios.