IronViT: Toward Efficient Generalist Visual Representation Learning
cs.CV
Submitted: 2026-09-24
Updated: 2026-09-24
Terminology
Sources
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- DINOv2: Learning Robust Visual Features without Supervision
- OpenVLA: An Open-Source Vision-Language-Action Model
- Efficient Universal Perception Encoder
- Theia: Distilling Diverse Vision Foundation Models for Robot Learning
- SemDeDup: Data-efficient learning at web-scale through semantic deduplication
- Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
- Qwen3-VL Technical Report
- ViT-AdaLA: Adapting Vision Transformers with Linear Attention
- DINOv3
- SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
- Let ViT Speak: Generative Language-Image Pre-training
- C-RADIOv4 (Tech Report)
- Qwen2.5 Technical Report
- SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension
- Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
- MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training
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