1 code implementation • 27 Mar 2024 • Run Shao, Zhaoyang Zhang, Chao Tao, Yunsheng Zhang, Chengli Peng, Haifeng Li
Compared to Patch Embed, which requires more than one hundred tokens for one image, HOOK requires only 6 and 8 tokens for sparse and dense tasks, respectively, resulting in efficiency improvements of 1. 5 to 2. 8 times.
no code implementations • 26 Feb 2024 • Chao Tao, Dongsheng Kuang, Zhenyang Huang, Chengli Peng, Haifeng Li
To deal with this imbalance, we propose an equilibrium optimization loss function to regulate the optimization focus of the foreground and background, determine the hard case samples through the distribution of the loss values, and introduce dynamic weights in the loss term to gradually shift the optimization focus of the loss from the foreground to the background hard cases as the training progresses.
no code implementations • 16 Oct 2023 • Chao Tao, Aoran Hu, Rong Xiao, Haifeng Li, Yuze Wang
This simplifies the domain adaption from generic to specific scenes during model reasoning processes.
2 code implementations • 28 Jun 2023 • Zhaoyang Zhang, Zhen Ren, Chao Tao, Yunsheng Zhang, Chengli Peng, Haifeng Li
Based on this, we propose contrastive learning with Gradient guided Sampling Strategy (GraSS) for RSI semantic segmentation.
no code implementations • 15 Nov 2022 • Chao Tao, Ji Qi, Mingning Guo, Qing Zhu, Haifeng Li
Deep learning has achieved great success in learning features from massive remote sensing images (RSIs).
2 code implementations • 15 Nov 2022 • Zhaoyang Zhang, Xuying Wang, Xiaoming Mei, Chao Tao, Haifeng Li
This indicates that the SSCL model has the ability to self-differentiate FNS and that the FALSE effectively mitigates the SCI in self-supervised contrastive learning.
1 code implementation • 10 Apr 2022 • Chao Tao, Ji Qia, Guo Zhang, Qing Zhu, Weipeng Lu, Haifeng Li
We believe that a general model which is trained by a label-free and task-independent way may be the next paradigm for RSIU and hope the insights distilled from this study can help to foster the development of an original vision model for RSIU.
no code implementations • 21 Nov 2021 • Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, QingZhu, Yu Liu, Tao Lin, Haifeng Li
This paper presents a learning model by active forgetting mechanism with artificial neural networks.
1 code implementation • 20 Jun 2021 • Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao
Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing.
no code implementations • 19 Jun 2021 • Pinyan Lu, Chao Tao, Xiaojin Zhang
Given a set of $n$ arms indexed from $1$ to $n$, each arm $i$ is associated with an unknown reward distribution supported on $[0, 1]$ with mean $\theta_i$ and variance $\sigma_i^2$.
1 code implementation • 26 Nov 2020 • Jiawei Zhu, Xin Han, Hanhan Deng, Chao Tao, Ling Zhao, Pu Wang, Lin Tao, Haifeng Li
On this background, this study presents a knowledge representation-driven traffic forecasting method based on spatial-temporal graph convolutional networks.
no code implementations • 22 Nov 2020 • Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li
Traffic forecasting is a fundamental and challenging task in the field of intelligent transportation.
no code implementations • 2 Oct 2020 • Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li
With the development of deep learning, supervised learning methods perform well in remote sensing images (RSIs) scene classification.
no code implementations • 28 Sep 2020 • Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao
On the one hand, RS-MetaNet raises the level of learning from the sample to the task by organizing training in a meta way, and it learns to learn a metric space that can well classify remote sensing scenes from a series of tasks.
no code implementations • 26 Sep 2020 • Guangyu Xi, Chao Tao, Yuan Zhou
We study MNL bandits, which is a variant of the traditional multi-armed bandit problem, under risk criteria.
1 code implementation • IEEE Geoscience and Remote Sensing Letters 2020 • Chao Tao, Weipeng Lu, Ji Qi and Hao Wang
Besides, we present an RSI scene classification dataset named as CSU-RSISC10 dataset to preserve the spatial information between scenes in a new way of organization.
1 code implementation • 19 Dec 2019 • Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao
High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location.
1 code implementation • ISPRS Journal of Photogrammetry and Remote Sensing 2019 • Chao Tao, Ji Qi, Yansheng Li, Hao Wang, Haifeng Li
The validation experiments using three large datasets of very high-resolution (VHR) satellite imagery show that the proposed method can improve road extraction accuracy and provide an output that is more in line with human expectations.
no code implementations • NeurIPS 2019 • Chao Tao, Saùl Blanco, Jian Peng, Yuan Zhou
We consider the thresholding bandit problem, whose goal is to find arms of mean rewards above a given threshold $\theta$, with a fixed budget of $T$ trials.
no code implementations • 5 Apr 2019 • Chao Tao, Qin Zhang, Yuan Zhou
Best arm identification (or, pure exploration) in multi-armed bandits is a fundamental problem in machine learning.
no code implementations • ICML 2018 • Chao Tao, Saúl Blanco, Yuan Zhou
We study the best arm identification problem in linear bandits, where the mean reward of each arm depends linearly on an unknown $d$-dimensional parameter vector $\theta$, and the goal is to identify the arm with the largest expected reward.
no code implementations • 4 Aug 2017 • Jie Chen, Chao Yuan, Min Deng, Chao Tao, Jian Peng, Haifeng Li
Owing to its superiority in feature representation, DCNN has exhibited remarkable performance in scene recognition of high-resolution remote sensing (HRRS) images and classification of hyper-spectral remote sensing images.
1 code implementation • 30 May 2017 • Haifeng Li, Xin Dou, Chao Tao, Zhixiang Hou, Jie Chen, Jian Peng, Min Deng, Ling Zhao
In this paper, we propose a remote sensing image classification benchmark (RSI-CB) based on massive, scalable, and diverse crowdsource data.
no code implementations • 19 May 2017 • Haifeng Li, Jian Peng, Chao Tao, Jie Chen, Min Deng
Is the DCNN recognition mechanism centered on object recognition still applicable to the scenarios of remote sensing scene understanding?