arXiv (All)
open access
NUViT: Vision Transformers for Fourier Space Data
Vision Transformers (ViTs) have demonstrated strong performance in many computer vision tasks but do not naturally extend beyond the natural image domain. One important example is Fourier-space data, which is used to represent a rich and diverse set of modalities, including medical imaging and micro
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
- Dissecting Representation Structure in Vision Transformers: A Rigorous Architectural Study#1248132
- Transformers for 3D medical image analysis: a systematic review of architectural innovations, performance, and clinical applications#357339
- Hardware-aware Calibrated Clustered Attention for Efficient Visual Geometric Transformers#1233313
- TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection#985992
- Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design#821745
Record · ID 1447408
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive