no code implementations • 1 Mar 2024 • Qiang Meng, Xiao Wang, Jiabao Wang, Liujiang Yan, Ke Wang
Our proposed Small, Versatile, and Mighty (SVM) network utilizes a pure convolutional architecture to fully unleash the efficiency and multi-tasking potentials of the range view representation.
1 code implementation • 10 Aug 2023 • Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng
We aim at providing the object detection community with an efficient and performant object detector, termed YOLO-MS.
1 code implementation • 20 Jun 2023 • Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou
Such a distillation manner relieves the student's head from receiving contradictory supervision signals from the ground-truth annotations and the teacher's predictions, greatly improving the student's detection performance.
1 code implementation • 16 Jun 2023 • Rui Zhang, Ziqi Wang, Yang Li, Jiabao Wang, Zhiteng Wang
Motivated by this observation, we propose a novel few-shot SAR image classification benchmark (FewSAR) to address this issue.
no code implementations • 6 May 2023 • Shipeng Ji, Yang Li, Ruizhi Fu, Jiabao Wang, Zhuang Miao
As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent.
1 code implementation • 28 Apr 2022 • Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen
We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection algorithm based on deep learning.
no code implementations • 1 Mar 2022 • Jiabao Wang, Yang Li, Xiu-Shen Wei, Hang Li, Zhuang Miao, Rui Zhang
Unsupervised learning technology has caught up with or even surpassed supervised learning technology in general object classification (GOC) and person re-identification (re-ID).
no code implementations • 27 Feb 2022 • Tao Xu, Wang Dang, Jiabao Wang, Yun Zhou
One of the most significant challenges of EEG-based emotion recognition is the cross-subject EEG variations, leading to poor performance and generalizability.
1 code implementation • 5 Oct 2021 • Gong Cheng, Jiabao Wang, Ke Li, Xingxing Xie, Chunbo Lang, Yanqing Yao, Junwei Han
Nowadays, oriented detectors mostly use horizontal boxes as intermedium to derive oriented boxes from them.
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 • 10 Jul 2021 • Fang Gao, Jiabao Wang, Jun Yu, Yaoxiong Wang, Feng Shuang
It consists of a dense residual network structure, an adaptive weight channel attention (AWCA) module, a patch second non-local (PSNL) module and a soft label generation method.
no code implementations • 2 Jun 2020 • Jiabao Wang, Yang Li, Shanshan Jiao, Zhuang Miao, Rui Zhang
In order to relieve this problem, we propose a novel grafted network (GraftedNet), which is designed by grafting a high-accuracy rootstock and a light-weighted scion.
no code implementations • 2 Jun 2020 • Jiabao Wang, Yang Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang
A new heterogeneous branch, SE-Res-Branch, is proposed based on the SE-Res module, which consists of the Squeeze-and-Excitation block and the residual block.
no code implementations • 17 Jan 2019 • Jiabao Wang, Yang Li, Zhuang Miao
However, deep feature extracted by a single CNN network is not robust enough in testing stage.