A survey of loss functions for semantic segmentation
S Jadon - 2020 IEEE conference on computational intelligence …, 2020 - ieeexplore.ieee.org
Image Segmentation has been an active field of research as it has a wide range of
applications, ranging from automated disease detection to self driving cars. In the past five …
applications, ranging from automated disease detection to self driving cars. In the past five …
Mask r-cnn
We present a conceptually simple, flexible, and general framework for object instance
segmentation. Our approach efficiently detects objects in an image while simultaneously …
segmentation. Our approach efficiently detects objects in an image while simultaneously …
Semantic instance segmentation with a discriminative loss function
B De Brabandere, D Neven, L Van Gool - ar**_ICCV_2017_paper.pdf" data-clk="hl=es&sa=T&oi=gga&ct=gga&cd=3&d=2098191810248367695&ei=Dwy2Z4vCKpeY6rQP1emJ-Ak" data-clk-atid="T958sFVGHh0J" target="_blank">[PDF] thecvf.com
Sgn: Sequential grou** networks for instance segmentation
In this paper, we propose Sequential Grou** Networks (SGN) to tackle the problem of
object instance segmentation. SGNs employ a sequence of neural networks, each solving a …
object instance segmentation. SGNs employ a sequence of neural networks, each solving a …
End-to-end instance segmentation with recurrent attention
While convolutional neural networks have gained impressive success recently in solving
structured prediction problems such as semantic segmentation, it remains a challenge to …
structured prediction problems such as semantic segmentation, it remains a challenge to …
Pixelwise instance segmentation with a dynamically instantiated network
Semantic segmentation and object detection research have recently achieved rapid
progress. However, the former task has no notion of different instances of the same object …
progress. However, the former task has no notion of different instances of the same object …
Affinity derivation and graph merge for instance segmentation
We present an instance segmentation scheme based on pixel affinity information, which is
the relationship of two pixels belonging to a same instance. In our scheme, we use two …
the relationship of two pixels belonging to a same instance. In our scheme, we use two …
Contour extraction of individual cattle from an image using enhanced Mask R-CNN instance segmentation method
In animal husbandry, the traceability of individual cattle, their health information, and
performance records greatly depend on computer vision and image processing-based …
performance records greatly depend on computer vision and image processing-based …
Geometry‐guided semantic segmentation for post‐earthquake buildings using optical remote sensing images
Y Wang, X **g, Y Xu, L Cui… - … Engineering & Structural …, 2023 - Wiley Online Library
Deep‐learning‐based automatic recognition of post‐earthquake damage for urban
buildings is increasingly in demand for rapid and precise assessment of seismic hazards …
buildings is increasingly in demand for rapid and precise assessment of seismic hazards …
Semantic instance segmentation for autonomous driving
Semantic instance segmentation remains a challenging task. In this work we propose to
tackle the problem with a discriminative loss function, operating at the pixel level, that …
tackle the problem with a discriminative loss function, operating at the pixel level, that …