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cs.CV2026
What Remains OOD? OODConceptBench for Open-World Concept Recognition in Vision-Language Models
Zhiran Luo, Zhiyong Yang, Zitai Wang +3
In the era of large-scale pretrained models, zero-shot generalization has increasingly blurred the boundary between known and unknown concepts. However, current evaluations do not…
cs.AI2026
ToPA: Block-wise Toeplitz Adaptation for Expressive and Efficient Fine-Tuning
Sicong Li, Qianqian Xu, Zhiyong Yang +4
Parameter-Efficient Fine-Tuning (PEFT) has emerged as a prevalent strategy for adapting large pre-trained models. Among PEFT techniques, reparameterization-based methods, particula…
cs.CV2026
Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs
Zhikang Xu, Qianqian Xu, Zitai Wang +4
Out-of-distribution (OOD) detection seeks to identify samples from unknown classes, a critical capability for deploying machine learning models in open-world scenarios. Recent rese…