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pro vyhledávání: '"Kong, Fanjie"'
Open-world detection poses significant challenges, as it requires the detection of any object using either object class labels or free-form texts. Existing related works often use large-scale manual annotated caption datasets for training, which are
Externí odkaz:
http://arxiv.org/abs/2404.05016
We address the challenge of generating fair and unbiased image retrieval results given neutral textual queries (with no explicit gender or race connotations), while maintaining the utility (performance) of the underlying vision-language (VL) model. P
Externí odkaz:
http://arxiv.org/abs/2305.19329
Publikováno v:
International Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, pp. 4320-4332, 2023
In digital marketing, experimenting with new website content is one of the key levers to improve customer engagement. However, creating successful marketing content is a manual and time-consuming process that lacks clear guiding principles. This pape
Externí odkaz:
http://arxiv.org/abs/2302.01416
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-18 (2024)
Abstract During the operation of artificial underground structures, the surrounding rock experiences fatigue and creep damage caused by several types of disturbances under long-term constant loading. To quantify the mechanical response of sandstone u
Externí odkaz:
https://doaj.org/article/b6484feec95e4593a1d1e0b2380e9790
Publikováno v:
In Advanced Powder Technology September 2024 35(9)
Autor:
Yan, Yatao, Chen, Yang, Shao, Mengting, Hou, Jianhua, Chen, Xing, Fan, Lele, Kong, Fanjie, Chen, Ming
Publikováno v:
In Fuel 1 July 2024 367
Autor:
Kong, Fanjie, Henao, Ricardo
An increasing number of applications in computer vision, specially, in medical imaging and remote sensing, become challenging when the goal is to classify very large images with tiny informative objects. Specifically, these classification tasks face
Externí odkaz:
http://arxiv.org/abs/2106.02694
Tiny object classification problem exists in many machine learning applications like medical imaging or remote sensing, where the object of interest usually occupies a small region of the whole image. It is challenging to design an efficient machine
Externí odkaz:
http://arxiv.org/abs/2101.03154
Autor:
Wang, Dong, Yang, Yuewei, Tao, Chenyang, Gan, Zhe, Chen, Liqun, Kong, Fanjie, Henao, Ricardo, Carin, Lawrence
Deep neural networks excel at comprehending complex visual signals, delivering on par or even superior performance to that of human experts. However, ad-hoc visual explanations of model decisions often reveal an alarming level of reliance on exploiti
Externí odkaz:
http://arxiv.org/abs/2012.03369
Publikováno v:
In Ecological Indicators January 2024 158