Results 11 to 20 of about 342,749 (263)

Iterative Instance Segmentation [PDF]

open access: yes2016 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   +2 more
core   +2 more sources

BRefine: Achieving High-Quality Instance Segmentation

open access: yesSensors, 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   +4 more
doaj   +3 more sources

Reversible Recursive Instance-level Object Segmentation [PDF]

open access: yes2016 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   +6 more
core   +2 more sources

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

open access: yes, 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   +4 more
core   +3 more sources

PointINS: Point-Based Instance Segmentation [PDF]

open access: yesIEEE 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   +6 more
openaire   +4 more sources

YOLACT++ Better Real-Time Instance Segmentation [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
We present a simple, fully-convolutional model for real-time (>30 fps) instance segmentation that achieves competitive results on MS COCO evaluated on a single Titan Xp, which is significantly faster than any previous state-of-the-art approach. Moreover, we obtain this result after training on only one GPU.
Daniel Bolya   +3 more
openaire   +3 more sources

Instance search via instance level segmentation and feature representation [PDF]

open access: yesJournal of Visual Communication and Image Representation, 2021
Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation built upon fully convolutional instance-aware segmentation is proposed. The feature is ROI-pooled from the segmented instance region.
Zhan, Yu, Zhao, Wan-Lei
openaire   +2 more sources

Boundary-Aware Instance Segmentation [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxes, and directly predict a binary mask within each such proposal.
Hayder, Zeeshan   +2 more
openaire   +2 more sources

Instance Segmentation of Buildings Using Keypoints [PDF]

open access: yesIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods often lead to segmentation masks with blurred boundaries. In this paper, we propose a novel instance segmentation network for building segmentation in high-resolution remote ...
Li, Qingyu   +6 more
openaire   +3 more sources

Video Instance Segmentation [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Accepted to ICCV ...
Yang, Linjie, Fan, Yuchen, Xu, Ning
openaire   +2 more sources

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