arXiv 2609.33325 · cs.CV · 2026-09-27
VisionHOPE: Visual Backbones as Self-Modifying Learning Systems
Siran Peng, Tianshuo Zhang, Tianyu Fu, Weisong Zhao, Haoyuan Zhang, Jiankuo Zhao, Minghui Wu, Ping Jiang and 3 more
Mininglamp Technology
In latest · #10 2026-W40 #9 Added on 2026-10-21
One-line takeaway
VisionHOPE turns a visual backbone into a self-modifying learner whose memory and update rules co-evolve within each image.
VisionHOPE 把视觉骨干网络做成“自我修改”的学习系统，记什么、怎么学在单张图内共同演化。
Read on arXiv PDF Hugging Face discussion Code
Topics & disciplines
More on Vision & 3D
- EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience ▲170
- Holi-World: Building Holistic World Intelligence from Human-Ego Experience ▲156
- GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed ▲94
- EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling ▲60
- All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts ▲56
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.