MenghaoGuo/Awesome-Vision-Attentions resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2842 stars · 400 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers on visual attention mechanisms in computer vision, accompanying the survey 'Attention Mechanisms in Computer Vision: A Survey'. It organizes papers by attention type (channel, spatial, temporal, branch) and provides reference implementations in Jittor.

Use cases

• find papers on attention mechanisms in computer vision
• learn about channel and spatial attention for CNNs
• survey visual attention methods for a literature review
• get Jittor implementations of attention modules like SE and ECANet
• research attention mechanisms for image classification or segmentation
• find highly-cited attention papers for deep learning models

When to choose

• you need a categorized reading list of vision attention papers
• you want reference Jittor code for attention modules
• you are writing a survey or literature review on attention in computer vision

When to avoid

• you need production-ready PyTorch or TensorFlow attention implementations
• you want a maintained library with releases and support
• you need non-vision attention methods like NLP transformers

Facets

learning-resource · maturity maintenance

machine-learning deep-learning computer-vision documentation computer-vision deep-learning artificial-intelligence tutorials python awesome-list attention-mechanisms paper-collection survey jittor

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MenghaoGuo/Awesome-Vision-Attentions")