most citedBox-Level Active Detection

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20241 cited

Generative Iris Prior Embedded Transformer for Iris Restoration

Yubo Huang, Jia Wang, Peipei Li +3

Iris restoration from complexly degraded iris images, aiming to improve iris recognition performance, is a challenging problem. Due to the complex degradation, directly training a…

cs.AI20241 cited

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models

Leyan Wang, Yonggang Jin, Tianhao Shen +9

As large language models (LLMs) continue to develop and gain widespread application, the ability of LLMs to exhibit empathy towards diverse group identities and understand their pe…

cs.CL2024

Dynamic Generation of Personalities with Large Language Models

Jianzhi Liu, Hexiang Gu, Tianyu Zheng +4

In the realm of mimicking human deliberation, large language models (LLMs) show promising performance, thereby amplifying the importance of this research area. Deliberation is infl…

cs.CV2024

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie +6

In recent years, object detection in deep learning has experienced rapid development. However, most existing object detection models perform well only on closed-set datasets, ignor…

cs.CV20231 cited

Box-Level Active Detection

Mengyao Lyu, Jundong Zhou, Hui Chen +7

Active learning selects informative samples for annotation within budget, which has proven efficient recently on object detection. However, the widely used active detection benchma…