Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey

no code implementations • 21 Feb 2023 • Kun Wang, Zi Wang, Zhang Li, Ang Su, Xichao Teng, Minhao Liu, Qifeng Yu

Given the rapid development of this field, this paper aims to provide a comprehensive survey of recent advances in oriented object detection.

Object object-detection +2

Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints

no code implementations • 23 Dec 2022 • Zi Wang, Minglin Chen, Yulan Guo, Zhang Li, Qifeng Yu

Recently, unsupervised domain adaptation in satellite pose estimation has gained increasing attention, aiming at alleviating the annotation cost for training deep models.

Pose Estimation Pseudo Label +1

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

no code implementations • 21 Aug 2020 • Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens

All methods were based on deep learning and categorized into two groups: multi-model method and single model method.

Segmentation

Simplified Mirror-Based Camera Pose Computation via Rotation Averaging

no code implementations • CVPR 2015 • Gucan Long, Laurent Kneip, Xin Li, Xiaohu Zhang, Qifeng Yu

Our theoretical contribution extends the applicability of rotation averaging to a more general case, and enables mirror-based pose estimation in closed-form under the chordal L2-metric, or in an outlier-robust way by employing iterative L1-norm averaging.

Camera Calibration Pose Estimation