Results 11 to 20 of about 91,320 (301)

Recurrent Instance Segmentation [PDF]

open access: yes, 2016
14 pages (main paper).
Bernardino Romera-Paredes   +1 more
openaire   +6 more sources

A Survey on Object Instance Segmentation [PDF]

open access: yesSN Computer Science, 2022
AbstractIn recent years, instance segmentation has become a key research area in computer vision. This technology has been applied in varied applications such as robotics, healthcare and intelligent driving. Instance segmentation technology not only detects the location of the object but also marks edges for each single instance, which can solve both ...
Rabi Sharma   +3 more
openaire   +3 more sources

Instance segmentation in fisheye images [PDF]

open access: yes2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2020
In this paper we propose a data augmentation method for instance segmentation in fisheye images. A lot of progress has been made on the task of instance segmentation in the last few years, particularly for rectilinear images. In fisheye images, detection tasks have mostly been explored as a semantic segmentation task.
Dufour, Rémi   +3 more
openaire   +4 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.
Zeeshan Hayder   +2 more
openaire   +4 more sources

One-Shot Instance Segmentation [PDF]

open access: yesCoRR, 2018
We tackle the problem of one-shot instance segmentation: Given an example image of a novel, previously unknown object category, find and segment all objects of this category within a complex scene. To address this challenging new task, we propose Siamese Mask R-CNN.
Claudio Michaelis   +3 more
core   +6 more sources

Mask then classify: multi-instance segmentation for surgical instruments. [PDF]

open access: yes, 2021
PURPOSE The detection and segmentation of surgical instruments has been a vital step for many applications in minimally invasive surgical robotics. Previously, the problem was tackled from a semantic segmentation perspective, yet these methods fail to
Allan, Max   +4 more
core   +1 more source

OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN [PDF]

open access: yes, 2022
Optical coherence tomography (OCT) of the posterior segment of the eye provides high-resolution cross-sectional images that allow visualization of individual layers of the posterior eye tissue (the retina and choroid), facilitating the diagnosis and ...
David Alonso-Caneiro   +7 more
core   +1 more source

PatchPerPix for Instance Segmentation [PDF]

open access: yes, 2020
ECCV2020, code: https://github.com/Kainmueller-Lab ...
Lisa Mais   +2 more
openaire   +2 more sources

Training-Free Instance Segmentation from Semantic Image Segmentation Masks [PDF]

open access: yes, 2023
In recent years, the development of instance segmentation has garnered significant attention in a wide range of applications. However, the training of a fully-supervised instance segmentation model requires costly both instance-level and pixel-level ...
LI, Zechao   +5 more
core   +1 more source

Video Instance Segmentation [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Accepted to ICCV ...
Linjie Yang, Yuchen Fan 0001, Ning Xu
openaire   +2 more sources

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