Zobrazeno 1 - 10
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pro vyhledávání: '"Robertson, Neil P."'
Autor:
Robertson, Neil, Seymour, Paul
We prove that a graph does not contain as a minor a graph formed by 0-, 1-, 2- or 3-summing $k$ copies of $K_5$ or $K_{3,3}$, if and only if it has bounded genus.
Externí odkaz:
http://arxiv.org/abs/2405.05384
Autor:
Robertson, Neil, Seymour, Paul
A graph is a ``$k$-Kuratowski graph'' if it has exactly $k$ components, each isomorphic to $K_5$ or to $K_{3,3}$. We prove that if a graph $G$ contains no $k$-Kuratowski graph as a minor,then there is a set $X$ of boundedly many vertices such that $G
Externí odkaz:
http://arxiv.org/abs/2405.05381
Deep video models, for example, 3D CNNs or video transformers, have achieved promising performance on sparse video tasks, i.e., predicting one result per video. However, challenges arise when adapting existing deep video models to dense video tasks,
Externí odkaz:
http://arxiv.org/abs/2402.09257
Recently, one-stage detectors have achieved competitive accuracy and faster speed compared with traditional two-stage detectors on image data. However, in the field of video object detection (VOD), most existing VOD methods are still based on two-sta
Externí odkaz:
http://arxiv.org/abs/2402.09241
Publikováno v:
In Proceedings of the AAAI Conference on Artificial Intelligence 2021 (Vol. 35, No. 3, pp. 2620-2627)
State-of-the-art video object detection methods maintain a memory structure, either a sliding window or a memory queue, to enhance the current frame using attention mechanisms. However, we argue that these memory structures are not efficient or suffi
Externí odkaz:
http://arxiv.org/abs/2401.09923
Autor:
Wang, Xinshao, Hua, Yang, Kodirov, Elyor, Mukherjee, Sankha Subhra, Clifton, David A., Robertson, Neil M.
There is a family of label modification approaches including self and non-self label correction (LC), and output regularisation. They are widely used for training robust deep neural networks (DNNs), but have not been mathematically and thoroughly ana
Externí odkaz:
http://arxiv.org/abs/2207.00118
Autor:
Li, Ziyun, Wang, Xinshao, Hu, Di, Robertson, Neil M., Clifton, David A., Meinel, Christoph, Yang, Haojin
Mutual knowledge distillation (MKD) improves a model by distilling knowledge from another model. However, \textit{not all knowledge is certain and correct}, especially under adverse conditions. For example, label noise usually leads to less reliable
Externí odkaz:
http://arxiv.org/abs/2106.01489
Deep embedding learning is expected to learn a metric space in which features have smaller maximal intra-class distance than minimal inter-class distance. In recent years, one research focus is to solve the open-set problem by discriminative deep emb
Externí odkaz:
http://arxiv.org/abs/2011.11155
Autor:
Sixta, Tomáš, Junior, Julio C. S. Jacques, Buch-Cardona, Pau, Robertson, Neil M., Vazquez, Eduard, Escalera, Sergio
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the results. The aim of the challenge was to evaluate accuracy and bias in g
Externí odkaz:
http://arxiv.org/abs/2009.07838
Autor:
Larabi, Slimane, Robertson, Neil M.
In this paper we deal with contour detection based on the recent image analogy principle which has been successfully used for super-resolution, texture and curves synthesis and interactive editing. Hand-drawn outlines are initially as benchmarks. Giv
Externí odkaz:
http://arxiv.org/abs/2007.11047