no code implementations • 15 Dec 2023 • Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li
Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation.
1 code implementation • 20 Jul 2023 • Zhenghui Zhao, Lixiang Ru, Chen Wu
Specifically, change missing refer to the situation that the WSCD model fails to predict any changed pixels, even though the image-level label indicates changed, and vice versa for change fabricating.
1 code implementation • CVPR 2023 • Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
Secondly, to further differentiate the low-confidence regions in CAM, we devised a Class Token Contrast module (CTC) inspired by the fact that class tokens in ViT can capture high-level semantics.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
1 code implementation • CVPR 2022 • Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
Motivated by the inherent consistency between the self-attention in Transformers and the semantic affinity, we propose an Affinity from Attention (AFA) module to learn semantic affinity from the multi-head self-attention (MHSA) in Transformers.
Ranked #28 on Weakly-Supervised Semantic Segmentation on COCO 2014 val
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
1 code implementation • 10 Feb 2022 • Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu
In the visual words learning module, we counter the first problem by enforcing the classification network to learn fine-grained visual word labels so that more object extents could be discovered.
no code implementations • 26 Jun 2020 • Chen Wu, Yinong Guo, HaoNan Guo, Jingwen Yuan, Lixiang Ru, Hongruixuan Chen, Bo Du, Liangpei Zhang
The significant reduction and recovery of traffic density indicates that the lockdown policy in Wuhan show effectiveness in controlling human transmission inside the city, and the city returned to normal after lockdown lift.
1 code implementation • 3 Jun 2020 • Lixiang Ru, Bo Du, Chen Wu
In this work, we proposed a CorrFusion module that fuses the highly correlated components in bi-temporal feature embeddings.
1 code implementation • 3 Dec 2018 • Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang
In recent years, deep network has shown its brilliant performance in many fields including feature extraction and projection.