Results 31 to 40 of about 91,320 (301)
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
Pointly-Supervised Instance Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an embarrassingly simple point annotation scheme to collect weak supervision for instance segmentation. In addition to bounding boxes, we collect binary labels for a set of points uniformly sampled inside each bounding box. We show that the existing instance segmentation models developed for full mask supervision can be seamlessly trained ...
Bowen Cheng +2 more
openaire +2 more sources
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
Incremental Few-Shot Instance Segmentation [PDF]
, 2021 Few-shot instance segmentation methods are promising when labeled training data for novel classes is scarce. However, current approaches do not facilitate flexible addition of novel classes.
Poppe, Ronald +2 more
core +3 more sources
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
Amodal Instance Segmentation [PDF]
, 2016 23 pages, 14 figures; European Conference on Computer Vision (ECCV ...
Ke Li 0011, Jitendra Malik
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Dual embedding learning for video instance segmentation [PDF]
, 2021 © 2019 IEEE. In this paper, we propose a novel framework to generate high-quality segmentation results in a two-stage style, aiming at video instance segmentation task which requires simultaneous detection, segmentation and tracking of instances.
Li, P, Yang, Y, Yang, Z, Feng, Q, Wei, Y
core +1 more source
Mask2Former for Video Instance Segmentation
CoRR, 2021 Code and models: https://github.com/facebookresearch ...
Bowen Cheng +5 more
openaire +2 more sources
Instance segmentation using 2.5D data [PDF]
, 2023 Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation.
Öhrling, Jonathan
core +2 more sources
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
doaj +1 more source