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pro vyhledávání: '"XU Qianqian"'
Diffusion models are powerful generative models, and this capability can also be applied to discrimination. The inner activations of a pre-trained diffusion model can serve as features for discriminative tasks, namely, diffusion feature. We discover
Externí odkaz:
http://arxiv.org/abs/2410.06719
Diffusion models are initially designed for image generation. Recent research shows that the internal signals within their backbones, named activations, can also serve as dense features for various discriminative tasks such as semantic segmentation.
Externí odkaz:
http://arxiv.org/abs/2410.03558
Autor:
Han, Boyu, Xu, Qianqian, Yang, Zhiyong, Bao, Shilong, Wen, Peisong, Jiang, Yangbangyan, Huang, Qingming
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performance under long-tail distributions.
Externí odkaz:
http://arxiv.org/abs/2409.20398
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and collaborative filtering. Following the convention of RS, existing practices exploit unique user r
Externí odkaz:
http://arxiv.org/abs/2409.01012
In recent years, multi-view outlier detection (MVOD) methods have advanced significantly, aiming to identify outliers within multi-view datasets. A key point is to better detect class outliers and class-attribute outliers, which only exist in multi-v
Externí odkaz:
http://arxiv.org/abs/2408.07819
Autor:
Zhao Wenchao, Wen Zhengji, Xu Qianqian, Zhou Ziji, Li Shimin, Fang Shiyu, Chen Ting, Sun Liaoxin, Wang Xingjun, Liu Yufeng, Sun Yan, Tan Yan-Wen, Dai Ning, Hao Jiaming
Publikováno v:
Nanophotonics, Vol 10, Iss 8, Pp 2257-2264 (2021)
All-inorganic cesium lead halide perovskite quantum dots have recently received much attention as promising optoelectronic materials with great luminescent properties and bright application prospect in lighting, lasing, and photodetection. Although n
Externí odkaz:
https://doaj.org/article/d4683574edf54792acc51a4894089483
Autor:
Ruan Xiangyu, Dai Wei, Wang Wenqiang, Ou Chunhui, Xu Qianqian, Zhou Ziji, Wen Zhengji, Liu Chang, Hao Jiaming, Guan Zhiqiang, Xu Hongxing
Publikováno v:
Nanophotonics, Vol 10, Iss 6, Pp 1683-1690 (2021)
Broadband long-wavelength infrared (LWIR) optical absorbers have important applications in thermal emission and imaging, infrared camouflaging, and waste heat and biothermal energy utilization. However, the practical application of broadband LWIR opt
Externí odkaz:
https://doaj.org/article/b8a6bd71c8b949229654142eaea2b9dd
With the progressive advancements in deep graph learning, out-of-distribution (OOD) detection for graph data has emerged as a critical challenge. While the efficacy of auxiliary datasets in enhancing OOD detection has been extensively studied for ima
Externí odkaz:
http://arxiv.org/abs/2407.21742
The rapid growth of online video resources has significantly promoted the development of video retrieval methods. As a standard evaluation metric for video retrieval, Average Precision (AP) assesses the overall rankings of relevant videos at the top
Externí odkaz:
http://arxiv.org/abs/2407.15566
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
Autor:
Wang, Zitai, Xu, Qianqian, Yang, Zhiyong, Wen, Peisong, He, Yuan, Cao, Xiaochun, Huang, Qingming
Multi-label ranking, which returns multiple top-ranked labels for each instance, has a wide range of applications for visual tasks. Due to its complicated setting, prior arts have proposed various measures to evaluate model performances. However, bot
Externí odkaz:
http://arxiv.org/abs/2407.06709