no code implementations • 29 May 2024 • Jinzhong Wang, Xuetao Tian, Shun Dai, Tao Zhuo, Haorui Zeng, Hongjuan Liu, Jiaqi Liu, Xiuwei Zhang, Yanning Zhang
Multispectral object detection, utilizing both visible (RGB) and thermal infrared (T) modals, has garnered significant attention for its robust performance across diverse weather and lighting conditions.
no code implementations • 5 Mar 2024 • Lingyan Ran, Lushuang Wang, Tao Zhuo, Yinghui Xing
Semantic segmentation of remote sensing images is a challenging and hot issue due to the large amount of unlabeled data.
1 code implementation • 29 Jan 2024 • Yuze Hao, Jianrong Zhang, Tao Zhuo, Fuan Wen, Hehe Fan
To address this problem, we propose a data-driven method for coarse motion refinement.
1 code implementation • 16 Oct 2023 • Tao Zhuo, Zhiyong Cheng, Hehe Fan, Mohan Kankanhalli
Existing CL methods usually reduce forgetting with task priors, \ie using task identity or a subset of previously seen samples for model training.
1 code implementation • 23 May 2023 • Tao Zhuo, Zhiyong Cheng, Zan Gao, Hehe Fan, Mohan Kankanhalli
Experience Replay (ER) is a simple and effective rehearsal-based strategy, which optimizes the model with current training data and a subset of old samples stored in a memory buffer.
no code implementations • 16 Aug 2022 • Zan Gao, Xinglei Cui, Tao Zhuo, Zhiyong Cheng, An-An Liu, Meng Wang, Shenyong Chen
However, the temporal features of a low-level scale lack enough semantics for action classification while a high-level scale cannot provide rich details of the action boundaries.
1 code implementation • ICLR 2021 • Tao Zhuo, Mohan Kankanhalli
As a step towards improving the abstract reasoning capability of machines, we aim to solve Raven's Progressive Matrices (RPM) with neural networks, since solving RPM puzzles is highly correlated with human intelligence.
1 code implementation • 21 Sep 2021 • Tao Zhuo, Qiang Huang, Mohan Kankanhalli
Raven's Progressive Matrices (RPM) is highly correlated with human intelligence, and it has been widely used to measure the abstract reasoning ability of humans.
1 code implementation • 5 Feb 2020 • Tao Zhuo, Mohan Kankanhalli
Based on the design of the pseudo target, MCPT converts the unsupervised learning problem to a supervised task.
no code implementations • 28 Aug 2019 • Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli
To overcome this limitation, we propose a novel mask transfer network (MTN), which can greatly boost the processing speed of VOS and also achieve a reasonable accuracy.
1 code implementation • 28 Aug 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Finally, by sequentially examining each state transition in the video graph, our method can detect and explain how those actions are executed with prior knowledge, just like the logical manner of thinking by humans.
1 code implementation • IEEE Transactions on Image Processing 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Moreover, our method achieves better performance than the best unsupervised offline algorithm on the DAVIS-2016 benchmark dataset.