Search Results for author: Zhiyong Liu

Found 9 papers, 2 papers with code

AIGC Empowering Telecom Sector White Paper_chinese

no code implementations21 Jul 2023 Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu

Through the study of GPT, a typical representative of AIGC, the authors have analyzed how GPT empowers the telecom sector in the form of scenarios, discussed the gap between the current GPT general model and telecom services, proposed for the first time a Telco Augmented Cognition capability system, provided answers to how to construct a telecom service GPT in the telecom sector, and carried out various practices.

Refined Pseudo labeling for Source-free Domain Adaptive Object Detection

no code implementations7 Mar 2023 Siqi Zhang, Lu Zhang, Zhiyong Liu

Domain adaptive object detection (DAOD) assumes that both labeled source data and unlabeled target data are available for training, but this assumption does not always hold in real-world scenarios.

object-detection Object Detection +1

FIT: Frequency-based Image Translation for Domain Adaptive Object Detection

no code implementations7 Mar 2023 Siqi Zhang, Lu Zhang, Zhiyong Liu, Hangtao Feng

Domain adaptive object detection (DAOD) aims to adapt the detector from a labelled source domain to an unlabelled target domain.

object-detection Object Detection +1

Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning

1 code implementation1 Aug 2022 Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu

In the first stage, we obtain a robust feature extractor, which could serve for all images with base and novel categories.

Representation Learning Self-Supervised Learning

Zero-shot object goal visual navigation

1 code implementation15 Jun 2022 Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu

Object goal visual navigation is a challenging task that aims to guide a robot to find the target object based on its visual observation, and the target is limited to the classes pre-defined in the training stage.

Knowledge Graphs Object +5

Weakly Aligned Feature Fusion for Multimodal Object Detection

no code implementations21 Apr 2022 Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao

In this article, we propose a general multimodal detector named aligned region CNN (AR-CNN) to tackle the position shift problem.

Object object-detection +2

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation

no code implementations21 Apr 2022 Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu

In this paper, we emphasize the adaptation process across sim2real domains and model it as a learning problem on the BatchNorm parameters of a simulation-trained model.

Knowledge Distillation Segmentation +4

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