2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2023
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…
eess.IV2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
Dan Zhang, Fangfang Zhou, Felix Albu +4
The advent of deep learning has brought a revolutionary transformation to image denoising techniques. However, the persistent challenge of acquiring noise-clean pairs for supervise…
cs.LG2022★ 2 cited
Continual learning on deployment pipelines for Machine Learning Systems
Qiang Li, Chongyu Zhang
Following the development of digitization, a growing number of large Original Equipment Manufacturers (OEMs) are adapting computer vision or natural language processing in a wide r…