Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Mask propagation for efficient video semantic segmentation
Abstract Video Semantic Segmentation (VSS) involves assigning a semantic label to each
pixel in a video sequence. Prior work in this field has demonstrated promising results by …
pixel in a video sequence. Prior work in this field has demonstrated promising results by …
X-Align: Cross-modal cross-view alignment for bird's-eye-view segmentation
Abstract Bird's-eye-view (BEV) grid is a common representation for the perception of road
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
Motion-state alignment for video semantic segmentation
In recent years, video semantic segmentation has made great progress with advanced deep
neural networks. However, there still exist two main challenges ie, information inconsistency …
neural networks. However, there still exist two main challenges ie, information inconsistency …
Dejavu: Conditional regenerative learning to enhance dense prediction
We present DejaVu, a novel framework which leverages conditional image regeneration as
additional supervision during training to improve deep networks for dense prediction tasks …
additional supervision during training to improve deep networks for dense prediction tasks …
Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation
This paper presents a novel framework to integrate both semantic and instance contexts for
panoptic segmentation. In existing works, it is common to use a shared backbone to extract …
panoptic segmentation. In existing works, it is common to use a shared backbone to extract …
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Recent advancements in video semantic segmentation have made substantial progress by
exploiting temporal correlations. Nevertheless, persistent challenges, including redundant …
exploiting temporal correlations. Nevertheless, persistent challenges, including redundant …
Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit deployment on mobile device
H Park, A Yessenbayev, T Singhal… - Proceedings of the …, 2022 - openaccess.thecvf.com
This demonstration showcases our innovations on efficient, accurate, and temporally
consistent video semantic segmentation on mobile device. We employ our test-time …
consistent video semantic segmentation on mobile device. We employ our test-time …
Transadapt: A transformative framework for online test time adaptive semantic segmentation
Test-time adaptive (TTA) semantic segmentation adapts a source pre-trained image
semantic segmentation model to unlabeled batches of target domain test images, different …
semantic segmentation model to unlabeled batches of target domain test images, different …
Pose constraints for consistent self-supervised monocular depth and ego-motion
ZK Suri - Scandinavian Conference on Image Analysis, 2023 - Springer
Self-supervised monocular depth estimation approaches suffer not only from scale
ambiguity but also infer temporally inconsistent depth maps wrt scale. While disambiguating …
ambiguity but also infer temporally inconsistent depth maps wrt scale. While disambiguating …
Deep video representation learning: a survey
This paper provides a review on representation learning for videos. We classify recent spatio-
temporal feature learning methods for sequential visual data and compare their pros and …
temporal feature learning methods for sequential visual data and compare their pros and …