Towards Open-Ended Visual Recognition with Large Language Models
No confident code implementation found for this paper. 4 possible matches can be shown below.
No confident code implementation found for this paper. 4 possible matches can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 4 weaker matches are hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
Trusted Multi-View Classification with Expert Knowledge Constraints
Predicting Dose-Response Curves with Deep Neural Networks
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
Multi-Label Node Classification with Label Influence Propagation
@article{yu2026towards,
title = {Towards Open-Ended Visual Recognition with Large Language Models},
author = {Qihang Yu and Xiaohui Shen and Liang-Chieh Chen},
year = {2026},
doi = {10.1007/978-3-031-72630-9_21},
url = {https://doi.org/10.1007/978-3-031-72630-9_21},
journal = {ECCV 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/55f0953e46d0edcf29eadffb0c65994af6bce102)