no code implementations • 27 Sep 2023 • Danpei Zhao, Bo Yuan, Zhenwei Shi
In this paper, we propose to address CISS without exemplar memory and resolve catastrophic forgetting as well as semantic drift synchronously.
Class-Incremental Semantic Segmentation
Contrastive Learning
+2
no code implementations • 11 Aug 2023 • Yapeng Meng, Songru Yang, Xu Hu, Rui Zhao, Lincheng Li, Zhenwei Shi, Zhengxia Zou
Our method can also be flexibly extended to real-time video face editing.
1 code implementation • 17 Jul 2023 • Jianqi Chen, Zhengxia Zou, Yilan Zhang, Keyan Chen, Zhenwei Shi
Specifically, in the harmonization process, a human mainly utilizes his long-term prior on harmonious images and makes a composite image close to that prior.
1 code implementation • 12 Jul 2023 • Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu
And the feature diversity is preserved by inter- and intra- class feature diversity-preserved module (InCDP).
1 code implementation • 28 Jun 2023 • Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
Leveraging vast training data (SA-1B), the foundation Segment Anything Model (SAM) proposed by Meta AI Research exhibits remarkable generalization and zero-shot capabilities.
no code implementations • 24 May 2023 • Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zhou, Zhenwei Shi
Toward continuous cross-resolution CD, we propose scale-invariant learning to enforce the model consistently predicting HR results given synthesized samples of varying bitemporal resolution differences.
1 code implementation • 14 May 2023 • Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi
Many existing adversarial attacks generate $L_p$-norm perturbations on image RGB space.
no code implementations • 15 Mar 2023 • Zipeng Qi, Hao Chen, Chenyang Liu, Zhenwei Shi, Zhengxia Zou
In the first stage, we optimize a neural field to encode the color and 3D structure of the remote sensing scene based on multi-view images.
1 code implementation • 3 Mar 2023 • Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, Zhenwei Shi
High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing.
Ranked #6 on
Image Harmonization
on iHarmony4
no code implementations • CVPR 2023 • Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li, Zhengxia Zou, Zhenwei Shi, Changjie Fan
In our method, taking the power of large-scale pre-trained multi-modal CLIP and neural rendering, T2P searches both continuous facial parameters and discrete facial parameters in a unified framework.
no code implementations • 1 Mar 2023 • Chenyang Liu, Jiajun Yang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi
To sufficiently utilize the extracted multi-scale features for captioning, we propose a scale-aware reinforcement (SR) module and combine it with the Transformer decoding layer to progressively utilize the features from different PDP layers.
1 code implementation • 24 Feb 2023 • Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han
In this paper, we propose a universal and lightweight federated learning framework, named Federated Deep-Broad Learning (FedDBL), to achieve superior classification performance with limited training samples and only one-round communication.
1 code implementation • 16 Feb 2023 • Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, XiaoLong Jiang, Zhengxia Zou, Zhenwei Shi
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate models.
no code implementations • 15 Jul 2022 • Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han
To bridge the gap between Transformer and CNN features, we propose a Trans&CNN Feature Calibration block (TCFC) in the decoder.
1 code implementation • 27 May 2022 • Hao Chen, Wenyuan Li, Song Chen, Zhenwei Shi
To achieve this, we obtain multiple points via class-balanced sampling on the overlapped area between views using the semantic mask.
1 code implementation • 18 May 2022 • Yongchang Wu, Zhengxia Zou, Zhenwei Shi
In this paper, we propose a novel remote sensing view synthesis method by leveraging the recent advances in implicit neural representations.
no code implementations • 17 May 2022 • Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang
In this study, we propose a novel ROI-free model for breast cancer diagnosis in ultrasound images with interpretable feature representations.
no code implementations • 13 Apr 2022 • Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation
Weakly supervised Semantic Segmentation
+1
no code implementations • 27 Feb 2022 • Zili Liu, Kun Hao, Xiaoyi Geng, Zhenwei Shi
Tropical cyclone (TC) is an extreme tropical weather system and its trajectory can be described by a variety of spatio-temporal data.
no code implementations • 15 Jan 2022 • Hao Chen, Yifan Zao, Liqin Liu, Song Chen, Zhenwei Shi
Here, we propose a semantic decoupled representation learning for RS image CD.
1 code implementation • Remote Sens. 2021 • Keyan Chen, Zhengxia Zou, Zhenwei Shi
Deep learning methods have achieved considerable progress in remote sensing image building extraction.
Building change detection for remote sensing images
Extracting Buildings In Remote Sensing Images
no code implementations • 4 Nov 2021 • Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han
Histopathological tissue classification is a fundamental task in pathomics cancer research.
1 code implementation • 14 Oct 2021 • Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu
In the segmentation phase, we achieved tissue semantic segmentation by our proposed Multi-Layer Pseudo-Supervision.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
+1
1 code implementation • 12 Jul 2021 • Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi
The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images.
no code implementations • 29 Apr 2021 • Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Inigo Bermejo
In this article, we treat lung cancer diagnosis as a multiple instance learning (MIL) problem in order to better reflect the diagnosis process in the clinical setting and for the higher interpretability of the output.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Hao Chen, Wenyuan Li, Zhenwei Shi
The key of IAug is to blend synthesized building instances onto appropriate positions of one of the bitemporal images.
Ranked #25 on
Building change detection for remote sensing images
on LEVIR-CD
(using extra training data)
Building change detection for remote sensing images
Change Detection
+1
no code implementations • 7 Mar 2021 • Zhenjie Tang, Qing Xu, Zhenwei Shi, Bin Pan
To be specific, we develop a new Feedback Structure and a Local-Global Spectral Block to alleviate the difficulty in spatial and spectral feature extraction.
5 code implementations • 27 Feb 2021 • Hao Chen, Zipeng Qi, Zhenwei Shi
To achieve this, we express the bitemporal image into a few tokens, and use a transformer encoder to model contexts in the compact token-based space-time.
Building change detection for remote sensing images
Change Detection
1 code implementation • 31 Dec 2020 • Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi
This paper studies an interesting question that whether a deep CNN can be trained to recover the depth behind an autostereogram and understand its content.
4 code implementations • CVPR 2021 • Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi
Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, we deal with such an artistic creation process in a vectorized environment and produce a sequence of physically meaningful stroke parameters that can be further used for rendering.
5 code implementations • Remote Sensing 2020 • Hao Chen, Zhenwei Shi
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images.
no code implementations • ICCV 2019 • Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong liu
Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with their own preferences rather than using default templates.
1 code implementation • 13 May 2019 • Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years.