Results 1 to 10 of about 345,447 (283)

Iterative Instance Segmentation [PDF]

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Existing methods for pixel-wise labelling tasks generally disregard the underlying structure of labellings, often leading to predictions that are visually implausible.
Hariharan, Bharath, Li, Ke, Malik, Jitendra   +2 more
core   +2 more sources

Instance Sequence Queries for Video Instance Segmentation with Transformers [PDF]

Sensors, 2021
Existing methods for video instance segmentation (VIS) mostly rely on two strategies: (1) building a sophisticated post-processing to associate frame level segmentation results and (2) modeling a video clip as a 3D spatial-temporal volume with a limit of
Zhujun Xu, Damien Vivet
doaj   +5 more sources

Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation

Computational Visual Media, 2023
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent
Chun-Yu Sun, Xin Tong, Yang Liu
doaj   +3 more sources

BRefine: Achieving High-Quality Instance Segmentation

Sensors, 2022
Instance segmentation has been developing rapidly in recent years. Mask R-CNN, a two-stage instance segmentation approach, has demonstrated exceptional performance. However, the masks are still very coarse.
Jimin Yu, Xiankun Yang, Shangbo Zhou, Shougang Wang, Shangguo Hu   +4 more
doaj   +3 more sources

Reversible Recursive Instance-level Object Segmentation [PDF]

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
In this work, we propose a novel Reversible Recursive Instance-level Object Segmentation (R2-IOS) framework to address the challenging instance-level object segmentation task.
Feng, Jiashi, Jie, Zequn, Liang, Xiaodan, Lin, Liang, Shen, Xiaohui, Wei, Yunchao, Yan, Shuicheng   +6 more
core   +2 more sources

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery [PDF]

Scientific Data
In laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations ...
Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren   +6 more
doaj   +2 more sources

3D-BEVIS: Bird's-Eye-View Instance Segmentation [PDF]

, 2019
Recent deep learning models achieve impressive results on 3D scene analysis tasks by operating directly on unstructured point clouds. A lot of progress was made in the field of object classification and semantic segmentation.
A Dai, D Rethage, F Engelmann, L-C Chen, O Ronneberger   +4 more
core   +3 more sources

Image instance segmentation based on diffusion model improved by step noisy [PDF]

Scientific Reports
In visual tasks, image instance segmentation has always been one of the most crucial core technologies in various fields, such as autonomous driving, and medical image analysis.
Hui Ma, Wanchun Sun, Shujia Li, Jinjun Zhang   +3 more
doaj   +2 more sources

Survey Progress on Image Instance Segmentation Methods of Deep Convolutional Neural Network [PDF]

Jisuanji kexue, 2022
Image instance segmentation is an important part of image processing and computer vision technology about image understanding.With the development of deep learning and deep convolutional neural network,image instance segmentation method based on deep ...
HU Fu-yuan, WAN Xin-jun, SHEN Ming-fei, XU Jiang-lang, YAO Rui, TAO Zhong-ben
doaj   +1 more source

PointINS: Point-Based Instance Segmentation [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features. Differentiating multiple potential instances within a single PoI feature is challenging because learning a high-dimensional mask feature for each instance using vanilla convolution demands a heavy computing burden. To address this challenge,
Lu Qi, Yi Wang, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia   +6 more
openaire   +4 more sources