Search Results for author: Chaohui Yu

Found 9 papers, 3 papers with code

MimCo: Masked Image Modeling Pre-training with Contrastive Teacher

no code implementations7 Sep 2022 Qiang Zhou, Chaohui Yu, Hao Luo, Zhibin Wang, Hao Li

Specifically, MimCo takes a pre-trained contrastive learning model as the teacher model and is pre-trained with two types of learning targets: patch-level and image-level reconstruction losses.

Contrastive Learning Self-Supervised Learning

Point RCNN: An Angle-Free Framework for Rotated Object Detection

no code implementations28 May 2022 Qiang Zhou, Chaohui Yu, Zhibin Wang, Hao Li

To tackle this problem, we propose a purely angle-free framework for rotated object detection, called Point RCNN, which mainly consists of PointRPN and PointReg.

object-detection Object Detection In Aerial Images

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

1 code implementation CVPR 2021 Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

To alleviate the confirmation bias problem and improve the quality of pseudo annotations, we further propose a co-rectify scheme based on Instant-Teaching, denoted as Instant-Teaching$^*$.

object-detection Object Detection +1

Learning Invariant Representations across Domains and Tasks

no code implementations3 Mar 2021 Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu

Being expensive and time-consuming to collect massive COVID-19 image samples to train deep classification models, transfer learning is a promising approach by transferring knowledge from the abundant typical pneumonia datasets for COVID-19 image classification.

Domain Adaptation Image Classification

Object Detection Made Simpler by Eliminating Heuristic NMS

no code implementations28 Jan 2021 Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li

On the COCO dataset, our simple design achieves superior performance compared to both the FCOS baseline detector with NMS post-processing and the recent end-to-end NMS-free detectors.

object-detection Object Detection

Learning to Match Distributions for Domain Adaptation

1 code implementation17 Jul 2020 Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu

However, it remains challenging to determine which method is suitable for a given application since they are built with certain priors or bias.

Domain Adaptation Inductive Bias

Transfer Learning with Dynamic Adversarial Adaptation Network

no code implementations18 Sep 2019 Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang

In this paper, we propose a novel Dynamic Adversarial Adaptation Network (DAAN) to dynamically learn domain-invariant representations while quantitatively evaluate the relative importance of global and local domain distributions.

Domain Adaptation

Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning

1 code implementation25 Mar 2019 Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu

In this paper, we propose a unified Transfer Channel Pruning (TCP) approach for accelerating UDA models.

Unsupervised Domain Adaptation

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