Results 11 to 20 of about 968,733 (291)
Recurrent Instance Segmentation [PDF]
, 2016 Instance segmentation is the problem of detecting and delineating each distinct object of interest appearing in an image. Current instance segmentation approaches consist of ensembles of modules that are trained independently of each other, thus missing ...
Philip Hilaire Sean Torr +5 more
core +7 more sources
Pointly-Supervised Instance Segmentation [PDF]
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.
Cheng, Bowen +2 more
core +3 more sources
Instance Segmentation in the Dark [PDF]
International Journal of Computer Vision, 2023 Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments.
Fu, Ying +4 more
core +3 more sources
One-Shot Instance Segmentation
CoRR, 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
Ecker, Alexander S. +3 more
core +6 more sources
A Survey on Object Instance Segmentation [PDF]
SN Computer Science, 2023 In 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.
Saqib, M +3 more
core +3 more sources
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation
CoRR, 2023 We demonstrate our solution for the 2019 COCO panoptic segmentation task. Our method first performs instance segmentation and semantic segmentation separately, then combines the two to generate panoptic segmentation results.
Langhe, Yogesh, Yildirim, Mehmet
core +3 more sources
On artefact reduction, segmentation and classification of 3D computed tomography imagery in baggage security screening [PDF]
, 2014 This work considers novel image-processing and computer-vision techniques to advance the automated analysis of low-resolution, complex 3D volumetric Computed Tomography (CT) imagery obtained in the aviation-security-screening domain. Novel research is
Mouton, Andre
core +7 more sources
Mask then classify: multi-instance segmentation for surgical instruments. [PDF]
, 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 +2 more sources
Zero-Shot Instance Segmentation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Deep learning has significantly improved the precision of instance segmentation with abundant labeled data. However, in many areas like medical and manufacturing, collecting sufficient data is extremely hard and labeling this data requires high professional skills.
Ye Zheng +4 more
openaire +2 more sources
PatchPerPix for Instance Segmentation [PDF]
, 2020 ECCV2020, code: https://github.com/Kainmueller-Lab ...
Lisa Mais +2 more
openaire +2 more sources