Learning multi-view camera relocalization with graph neural networks
We propose to construct a view graph to excavate the information of the whole given
sequence for absolute camera pose estimation. Specifically, we harness GNNs to model the …
sequence for absolute camera pose estimation. Specifically, we harness GNNs to model the …
Sc-wls: Towards interpretable feed-forward camera re-localization
Visual re-localization aims to recover camera poses in a known environment, which is vital
for applications like robotics or augmented reality. Feed-forward absolute camera pose …
for applications like robotics or augmented reality. Feed-forward absolute camera pose …
Visual camera re-localization using graph neural networks and relative pose supervision
Visual re-localization means using a single image as input to estimate the camera's location
and orientation relative to a pre-recorded environment. The highest-scoring methods are …
and orientation relative to a pre-recorded environment. The highest-scoring methods are …
Fine-grained image classification via multi-scale selective hierarchical biquadratic pooling
How to extract distinctive features greatly challenges the fine-grained image classification
tasks. In previous models, bilinear pooling has been frequently adopted to address this …
tasks. In previous models, bilinear pooling has been frequently adopted to address this …
Self-supervised deep homography estimation with invertibility constraints
Remarkable performance of the homography estimation has been achieved by the deep
CNN based approaches. These homography estimation methods, more often than not, are …
CNN based approaches. These homography estimation methods, more often than not, are …
TransBoNet: Learning camera localization with Transformer Bottleneck and Attention
X Song, H Li, L Liang, W Shi, G Xie, X Lu, X Hei - Pattern Recognition, 2024 - Elsevier
Abstract 6DoF camera localization is an important component of autonomous driving and
navigation. Deep learning has achieved impressive results in localization, but its robustness …
navigation. Deep learning has achieved impressive results in localization, but its robustness …
Objects matter: Learning object relation graph for robust absolute pose regression
Visual relocalization aims to estimate the pose of a camera from one or more images. In
recent years deep learning-based absolute pose regression (APR) methods have attracted …
recent years deep learning-based absolute pose regression (APR) methods have attracted …
Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform
L Deng, Y Pu - Displays, 2021 - Elsevier
Martial arts is a traditional sports event of the Chinese nation, which carries history and
culture. With the development of “Martial Arts on Campus Activities” in recent years, more …
culture. With the development of “Martial Arts on Campus Activities” in recent years, more …
Objects matter: learning object relation graph for robust camera relocalization
Visual relocalization aims to estimate the pose of a camera from one or more images. In
recent years deep learning based pose regression methods have attracted many attentions …
recent years deep learning based pose regression methods have attracted many attentions …
TransAPR: Absolute Camera Pose Regression With Spatial and Temporal Attention
C Qiao, Z Xiang, Y Fan, T Bai… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Visual relocalization aims to estimate the absolute camera pose from an image or sequential
images. Recent works tackle this problem by exploiting deep neural networks to regress …
images. Recent works tackle this problem by exploiting deep neural networks to regress …