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Boundary-Aware Instance Segmentation [PDF]
2017 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
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Instance segmentation ship detection based on improved Yolov7 using complex background SAR images
Frontiers in Marine Science, 2023 It is significant for port ship scheduling and traffic management to be able to obtain more precise location and shape information from ship instance segmentation in SAR pictures.
Muhammad Yasir +9 more
doaj +1 more source
Amodal Instance Segmentation [PDF]
, 2016 23 pages, 14 figures; European Conference on Computer Vision (ECCV ...
Ke Li 0011, Jitendra Malik
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An Elliptic Centerness for Object Instance Segmentation in Aerial Images
Journal of Remote Sensing, 2022 Instance segmentation in aerial images is an important and challenging task. Most of the existing methods have adapted instance segmentation algorithms developed for natural images to aerial images.
Yixin Luo +4 more
doaj +1 more source
Multiple instance cancer detection by boosting regularised trees [PDF]
, 2015 We propose a novel multiple instance learning algorithm for cancer detection in histopathology images. With images labelled at image-level, we rst search a set of region-level prototypes by solving a submodular set cover problem.
Stephen J. McKenna +5 more
core +1 more source
OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN
, 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
Training-Free Instance Segmentation from Semantic Image Segmentation Masks
, 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
Instance segmentation in fisheye images [PDF]
2020 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
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Mask2Former for Video Instance Segmentation
CoRR, 2021 Code and models: https://github.com/facebookresearch ...
Bowen Cheng +5 more
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Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray
Journal of Craniovertebral Junction and Spine, 2021 Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya +5 more
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