2 citations · 3 across the 4 of their papers we have counts for
5 papers
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
Qiang Li, Dan Zhang, Shengzhao Lei +5
Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challen…
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
Wenqi Shao, Xun Zhao, Yixiao Ge +5
This paper addresses an important problem of ranking the pre-trained deep neural networks and screening the most transferable ones for downstream tasks. It is challenging because t…
Temporally Efficient Vision Transformer for Video Instance Segmentation
Shusheng Yang, Xinggang Wang, Yu Li +5
Recently vision transformer has achieved tremendous success on image-level visual recognition tasks. To effectively and efficiently model the crucial temporal information within a…
Active Learning for Open-set Annotation
Kun-Peng Ning, Xun Zhao, Yu Li +1
Existing active learning studies typically work in the closed-set setting by assuming that all data examples to be labeled are drawn from known classes. However, in real annotation…
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li +3
Colorization has attracted increasing interest in recent years. Classic reference-based methods usually rely on external color images for plausible results. A large image database…