all AI news
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
March 6, 2024, 5:42 a.m. | Abdullah Nazhat Abdullah, Tarkan Aydin
cs.LG updates on arXiv.org arxiv.org
Abstract: The Attention mechanism is the main component of the Transformer architecture, and since its introduction, it has led to significant advancements in Deep Learning that span many domains and multiple tasks. The Attention Mechanism was utilized in Computer Vision as the Vision Transformer ViT, and its usage has expanded into many tasks in the vision domain, such as classification, segmentation, object detection, and image generation. While this mechanism is very expressive and capable, it comes …
abstract architecture arxiv attention computer computer vision cs.cv cs.lg deep learning domains function generated introduction multiple network tasks token transformer transformer architecture type vision
More from arxiv.org / cs.LG updates on arXiv.org
Testing the Segment Anything Model on radiology data
1 day, 18 hours ago |
arxiv.org
Calorimeter shower superresolution
1 day, 18 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US