Search Results for author: Sanli Tang

Found 7 papers, 3 papers with code

MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues

no code implementations8 Apr 2024 Xiahan Chen, Mingjian Chen, Sanli Tang, Yi Niu, Jiang Zhu

3D object detection based on roadside cameras is an additional way for autonomous driving to alleviate the challenges of occlusion and short perception range from vehicle cameras.

Autonomous Driving Decoder +4

Distilling Object Detectors With Global Knowledge

1 code implementation17 Oct 2022 Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He

Then, a robust distilling module (RDM) is applied to construct the global knowledge based on the prototypes and filtrate noisy global and local knowledge by measuring the discrepancy of the representations in two feature spaces.

Knowledge Distillation Object +2

Rethinking Pseudo-labeled Sample Mining for Semi-Supervised Object Detection

no code implementations1 Jan 2021 Duo Li, Sanli Tang, Zhanzhan Cheng, ShiLiang Pu, Yi Niu, Wenming Tan, Fei Wu, Xiaokang Yang

However, the impact of the pseudo-labeled samples' quality as well as the mining strategies for high quality training sample have rarely been studied in SSL.

object-detection Object Detection +1

Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection

no code implementations6 Jul 2020 Sanli Tang, Zhanzhan Cheng, ShiLiang Pu, Dashan Guo, Yi Niu, Fei Wu

To tackle this issue, we develop a fine-grained domain alignment approach with a well-designed domain classifier bank that achieves the instance-level alignment respecting to their categories.

Object object-detection +1

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting

1 code implementation17 Feb 2020 Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, ShiLiang Pu, Fei Wu

Many approaches have recently been proposed to detect irregular scene text and achieved promising results.

Text Detection Text Spotting

Online PCB Defect Detector On A New PCB Defect Dataset

1 code implementation17 Feb 2019 Sanli Tang, Fan He, Xiaolin Huang, Jie Yang

To train the deep model, a dataset is established, namely DeepPCB, which contains 1, 500 image pairs with annotations including positions of 6 common types of PCB defects.

Defect Detection

Adversarial Attack Type I: Cheat Classifiers by Significant Changes

no code implementations3 Sep 2018 Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang

Despite the great success of deep neural networks, the adversarial attack can cheat some well-trained classifiers by small permutations.

Adversarial Attack Vocal Bursts Type Prediction

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