Search Results for author: Jiabao Wang

Found 14 papers, 6 papers with code

Small, Versatile and Mighty: A Range-View Perception Framework

no code implementations1 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.

Panoptic Segmentation

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

1 code implementation10 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.

Object object-detection +2

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection

1 code implementation20 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.

Dense Object Detection Knowledge Distillation +3

FewSAR: A Few-shot SAR Image Classification Benchmark

1 code implementation16 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.

Classification Few-Shot Learning +2

Feature Chirality in Deep Learning Models

no code implementations6 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.

MMRotate: A Rotated Object Detection Benchmark using PyTorch

1 code implementation28 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.

Object object-detection +1

Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification

no code implementations1 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).

Clustering Contrastive Learning +3

DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition

no code implementations27 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.

EEG Electroencephalogram (EEG) +2

Anchor-free Oriented Proposal Generator for Object Detection

1 code implementation5 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.

Object object-detection +2

Oriented R-CNN for Object Detection

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)

Object object-detection +3

A Weakly-Supervised Depth Estimation Network Using Attention Mechanism

no code implementations10 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.

Monocular Depth Estimation Scene Understanding

Grafted network for person re-identification

no code implementations2 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.

Person Re-Identification

A heterogeneous branch and multi-level classification network for person re-identification

no code implementations2 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.

Attribute Classification +2

Ensemble Feature for Person Re-Identification

no code implementations17 Jan 2019 Jiabao Wang, Yang Li, Zhuang Miao

However, deep feature extracted by a single CNN network is not robust enough in testing stage.

Person Re-Identification

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