1 code implementation • 27 Sep 2023 • Zhongling Huang, Chong Wu, Xiwen Yao, Zhicheng Zhao, Xiankai Huang, Junwei Han
There has been a recent emphasis on integrating physical models and deep neural networks (DNNs) for SAR target recognition, to improve performance and achieve a higher level of physical interpretability.
1 code implementation • ICCV 2023 • Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan
We decompose the query video information into a clip prototype and a memory prototype for capturing local and long-term internal temporal guidance, respectively.
no code implementations • 20 Nov 2022 • Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
Few-shot semantic segmentation task aims at performing segmentation in query images with a few annotated support samples.
1 code implementation • 13 Oct 2022 • Yuanwei Liu, Nian Liu, Xiwen Yao, Junwei Han
To solve this problem, we are the first to introduce an intermediate prototype for mining both deterministic category information from the support and adaptive category knowledge from the query.
Ranked #29 on Few-Shot Semantic Segmentation on PASCAL-5i (1-Shot)
no code implementations • 28 Jul 2022 • Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing Xie, Junwei Han
Then, to catalyze the development of SOD, we construct two large-scale Small Object Detection dAtasets (SODA), SODA-D and SODA-A, which focus on the Driving and Aerial scenarios respectively.
1 code implementation • CVPR 2022 • Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao
Then, a BG Eliminating Module and a DO Eliminating Module are proposed to successively filter out the BG and DO information from the query feature, based on which we can obtain a BG and DO-free target object segmentation result.
1 code implementation • CVPR 2022 • Xiaoxu Feng, Xiwen Yao, Gong Cheng, Junwei Han
Object rotation is among long-standing, yet still unexplored, hard issues encountered in the task of weakly supervised object detection (WSOD) from aerial images.
1 code implementation • 27 Oct 2021 • Zhongling Huang, Xiwen Yao, Ying Liu, Corneliu Octavian Dumitru, Mihai Datcu, Junwei Han
In this paper, we first propose a novel physically explainable convolutional neural network for SAR image classification, namely physics guided and injected learning (PGIL).
4 code implementations • ICCV 2021 • Xingxing Xie, Gong Cheng, Jiabao Wang, Xiwen Yao, Junwei Han
Current state-of-the-art two-stage detectors generate oriented proposals through time-consuming schemes.
Ranked #10 on Object Detection In Aerial Images on DOTA (using extra training data)
no code implementations • 13 Jul 2020 • Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han
That is, we seamlessly embed various intra-view information, cross-view multi-dimension bilinear interactive information, and a new view ensemble mechanism into a unified framework to make a decision via the optimization.