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 等 11 人
Mininglamp Technology
在最新榜 #10 2026-W40 第 9 名 本站收录于 2026-10-21
一句话要点
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。
VisionHOPE turns a visual backbone into a self-modifying learner whose memory and update rules co-evolve within each image.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：视觉理解与 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
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。