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Human video instance segmentation and tracking via data association and single-stage detector
M Zhao, L Cheng, Y Sun, J Ma - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human video instance segmentation plays an important role in computer understanding of
human activities and is widely used in extensive artificial intelligence applications for …
human activities and is widely used in extensive artificial intelligence applications for …
Comparative Study of Mask R-CNN and PointRend for Surveillance Video Human Segmentation: Accuracy, History, Evaluation Datasets, Challenge Classification …
Computer vision's video segmentation is essential to many applications. This study
examines the Mask R-CNN and PointRend algorithms' performance and constraints in …
examines the Mask R-CNN and PointRend algorithms' performance and constraints in …
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector
L Cheng, M Zhao - arxiv preprint arxiv:2203.16966, 2022 - arxiv.org
Human video instance segmentation plays an important role in computer understanding of
human activities and is widely used in video processing, video surveillance, and human …
human activities and is widely used in video processing, video surveillance, and human …
HSMTL-Net: A Multi-Task Learning Framework for Human Segmentation with Integrated Regression and Classification Modules
F Rohani, SB Khobdeh - 2025 - researchsquare.com
Human segmentation is a critical task in computer vision, with many applications in different
fields. In this paper, we propose a novel multi-task learning approach, called HSMTL-Net, for …
fields. In this paper, we propose a novel multi-task learning approach, called HSMTL-Net, for …
Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO
Video instance segmentation (VIS) mainly has two methods in human-targeted tasks, one is
based on mask propagation method, and the other is based on detection tracking mode …
based on mask propagation method, and the other is based on detection tracking mode …