Conceptio › Archive › arXiv (All)
arXiv (All) open access

ACSAN: All-Convolutional Self-Attention Network Integrating Convolutional Operations with Vision Transformer

Wei, Zimian et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencecomputer-vision-and-pattern-recognition
In the past few years, Vision Transformer (ViT) has achieved excellent performance in the field of computer vision. However, there still some problems remain. For instance, ViTs heavily rely on large-scale training data since they simply contain a large number of trainable parameters, which slows do
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1458845
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive