Search Results for author: Changrui Chen

Found 7 papers, 4 papers with code

Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels

1 code implementation2 Dec 2023 Changrui Chen, Jungong Han, Kurt Debattista

Due to the costliness of labelled data in real-world applications, semi-supervised learning, underpinned by pseudo labelling, is an appealing solution.

object-detection Object Detection +1

Semi-supervised Object Detection via Virtual Category Learning

1 code implementation7 Jul 2022 Changrui Chen, Kurt Debattista, Jungong Han

Due to the costliness of labelled data in real-world applications, semi-supervised object detectors, underpinned by pseudo labelling, are appealing.

Object object-detection +2

Gaussian Dynamic Convolution for Efficient Single-Image Segmentation

no code implementations18 Apr 2021 Xin Sun, Changrui Chen, Xiaorui Wang, Junyu Dong, Huiyu Zhou, Sheng Chen

Furthermore, we also build a Gaussian dynamic pyramid Pooling to show its potential and generality in common semantic segmentation.

Image Segmentation Segmentation +1

High-Order Paired-ASPP Networks for Semantic Segmenation

no code implementations18 Feb 2020 Yu Zhang, Xin Sun, Junyu Dong, Changrui Chen, Yue Shen

The network first introduces a High-Order Representation module to extract the contextual high-order information from all stages of the backbone.

Semantic Segmentation Vocal Bursts Intensity Prediction

Highlight Every Step: Knowledge Distillation via Collaborative Teaching

1 code implementation23 Jul 2019 Haoran Zhao, Xin Sun, Junyu Dong, Changrui Chen, Zihe Dong

Knowledge distillation aims to train a compact student network by transferring knowledge from a larger pre-trained teacher model.

Knowledge Distillation

Few-shot Learning for Domain-specific Fine-grained Image Classification

no code implementations23 Jul 2019 Xin Sun, Hongwei Xv, Junyu Dong, Qiong Li, Changrui Chen

Learning to recognize novel visual categories from a few examples is a challenging task for machines in real-world industrial applications.

Classification Few-Shot Learning +2

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