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Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations [article]

Jiwoon Ahn, Sunghyun Cho, Suha Kwak
2019 arXiv   pre-print
This paper presents a novel approach for learning instance segmentation with image-level class labels as supervision.  ...  with accurate boundaries.  ...  Overview of our framework for generating pseudo instance segmentation labels. entire instance areas with accurate boundaries.  ... 
arXiv:1904.05044v3 fatcat:bxegbtkvvraapnofxiy4uaonii

Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images [article]

Kyle Luther, H. Sebastian Seung
2019 arXiv   pre-print
In this case, segmentations from a "metric graph" turn out to be competitive or even superior to segmentations from a directly predicted affinity graph.  ...  We compare the two approaches using brain images from serial section electron microscopy images, which constitute an especially challenging example of instance segmentation.  ...  In the final section we provide an possible reason for the improved performance of the vector-derived segmentations over the affinity-derived segmentations.  ... 
arXiv:1902.00100v1 fatcat:35mbkttjxja7jaqabykc3tlkxu

Instance Separation Emerges from Inpainting [article]

Steffen Wolf, Fred A. Hamprecht, Jan Funke
2020 arXiv   pre-print
In this work, we investigate how this implicit knowledge of image composition can be leveraged for fully self-supervised instance separation.  ...  We evaluate our method on two microscopy image datasets and show that it reaches similar segmentation performance to fully supervised methods.  ...  Affinity-Based Segmentation We use the MUTEXWA-TERSHED to derive a segmentation from affinities (Wolf et al., 2018) , where we introduce a single parameter α to control for over-and undersegmentation  ... 
arXiv:2003.00891v1 fatcat:ew5pl7ty6jeo3f74alpr5ltj4u

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations

Jiwoon Ahn, Sunghyun Cho, Suha Kwak
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
This paper presents a novel approach for learning instance segmentation with image-level class labels as supervision.  ...  with accurate boundaries.  ...  Overview of our framework for generating pseudo instance segmentation labels. entire instance areas with accurate boundaries.  ... 
doi:10.1109/cvpr.2019.00231 dblp:conf/cvpr/AhnCK19 fatcat:eqn3gd2cxzhjjczbd5njlfyq2y

Affinity Derivation and Graph Merge for Instance Segmentation [article]

Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu
2018 arXiv   pre-print
We present an instance segmentation scheme based on pixel affinity information, which is the relationship of two pixels belonging to a same instance.  ...  One is to predict pixel level semantic score and the other is designed to derive pixel affinities.  ...  Conclusions In this paper, we introduce a proposal-free instance segmentation scheme via affinity derivation and graph merge.  ... 
arXiv:1811.10870v1 fatcat:6uz4wesdrfavdk4nubxmyxzb4a

Rectification, and Segmentation of Coplanar Repeated Patterns

James Pritts, Ondrej Chum, Jiri Matas
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
A stratum of constraints is derived that gives the necessary configuration of repeats for each successive level of rectification.  ...  A generative model for the imaged pattern is inferred and used to segment the pattern with pixel accuracy.  ...  Conclusions A novel and fully automated method for the detection, rectification and pixel accurate segmentation of coplanar repeated patterns is introduced.  ... 
doi:10.1109/cvpr.2014.380 dblp:conf/cvpr/PrittsCM14 fatcat:z5yidqdyi5aspclmngjbxujap4

Deep Level Set for Box-supervised Instance Segmentation in Aerial Images [article]

Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu
2021 arXiv   pre-print
Instead of learning the pairwise affinity, the level set method with the carefully designed energy functions treats the object segmentation as curve evolution, which is able to accurately recover the object's  ...  To tackle these problems, we propose a novel aerial instance segmentation approach, which drives the network to learn a series of level set functions for the aerial objects with only box annotations in  ...  Therefore, the instance segmentation loss can be derived as below L seg = L levelset + L cons. (2) Deep Level Set for Instance Segmentation Level Set Formulation.  ... 
arXiv:2112.03451v1 fatcat:a7yvoytg7jgzro5gmvjftc5yy4

Deep Affinity Net: Instance Segmentation via Affinity [article]

Xingqian Xu, Mang Tik Chiu, Thomas S. Huang, Honghui Shi
2020 arXiv   pre-print
Despite the maturity of these two paradigms, we would like to report an alternative affinity-based paradigm where instances are segmented based on densely predicted affinities and graph partitioning algorithms  ...  Most of the modern instance segmentation approaches fall into two categories: region-based approaches in which object bounding boxes are detected first and later used in cropping and segmenting instances  ...  Liu, Y., Yang, S., Li, B., Zhou, W., Xu, J., Li, H., Lu, Y.: Affinity derivation and graph merge for instance segmentation. In: European Conference on Computer Vision (2018) 39.  ... 
arXiv:2003.06849v1 fatcat:7u2yidtuwbcdjidvkt7p2knjoq

Degenerate Pax2 and Senseless binding motifs improve detection of low-affinity sites required for enhancer specificity

Arya Zandvakili, Ian Campbell, Lisa M. Gutzwiller, Matthew T. Weirauch, Brian Gebelein, Scott Barolo
2018 PLoS Genetics  
Counterintuitively, we found that degenerate PWMs produced from datasets depleted of high-affinity sequences were more accurate in identifying both low-and high-affinity TFBSs for the Pax2 and Senseless  ...  Here, we show that a Drosophila regulatory element that activates Epidermal Growth Factor signaling requires overlapping, low-affinity TFBSs for competing TFs (Pax2 and Senseless) to ensure cell-and segment-specific  ...  Masato Nakafuku for his helpful comments on this manuscript. Author Contributions Conceptualization: Arya Zandvakili, Matthew T. Weirauch, Brian Gebelein. Data curation: Arya Zandvakili.  ... 
doi:10.1371/journal.pgen.1007289 pmid:29617378 pmcid:PMC5902045 fatcat:i33kcduuxbdmlmyecyar6zmj2y

Deformable Segmentation via Sparse Shape Representation [chapter]

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou
2011 Lecture Notes in Computer Science  
In this paper, a novel deformable model is proposed for robust segmentation in the presence of weak/misleading appearance cues.  ...  More specifically, by using affinity propagation method, our deformable surface is divided into multiple partitions, on which local shape models are built independently.  ...  ., d K ] ∈ R 3N ×K is a large shape repository that includes K accurately annotated shape instances d i .  ... 
doi:10.1007/978-3-642-23629-7_55 fatcat:c24wbjtqzvggdn6iltelgesd3q

Weak Novel Categories without Tears: A Survey on Weak-Shot Learning [article]

Li Niu
2021 arXiv   pre-print
., noisy labels for image classification, image labels for object detection, bounding boxes for segmentation), similar to the definitions in weakly supervised learning.  ...  Among them, zero-shot (resp., few-shot) learning explores using zero (resp., a few) training samples for novel categories, which lowers the quantity requirement for novel categories.  ...  OPMask [3] adds coarse mask prior derived from bounding box label to the mask head to predict more accurate instance mask.  ... 
arXiv:2110.02651v2 fatcat:hvvniqgukrdktmu4vjj6fefuqq

Instance Flow Based Online Multiple Object Tracking [article]

Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
2017 arXiv   pre-print
We define an affinity matrix between instances of subsequent frames which reflects locality and visual similarity. The instance association is solved by applying the Hungarian method.  ...  We predict position and shape of segmented instances in subsequent frames by exploiting optical flow cues.  ...  The figure also highlights the importance of accurate segmentations. Otherwise we observe a distortion of the predicted instance segmentation. The figure is best shown in color.  ... 
arXiv:1703.01289v2 fatcat:cojppm26a5gc5nukwbtpnsbuxq

Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks [article]

Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht
2020 arXiv   pre-print
This work introduces a new proposal-free instance segmentation method that builds on single-instance segmentation masks predicted across the entire image in a sliding window style.  ...  In contrast to related approaches, our method concurrently predicts all masks, one for each pixel, and thus resolves any conflict jointly across the entire image.  ...  Affinities with Uncertainty from Aggregated Masks In order to obtain an instance segmentation from the predictions of the model presented in Sec. 3, we now compute instance-aware pixel-pair affinities  ... 
arXiv:2009.04998v1 fatcat:bm2lc3najrcojoz2cpb5yulxpm

One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features [article]

Aram Ter-Sarkisov
2021 medRxiv   pre-print
We introduce a model that segments lesions and predicts COVID-19 from chest CT scans through the derivation of an affinity matrix between lesion masks.  ...  Finally, the affinity is expressed as a single vector of pre-defined length.  ...  of classification branch parameters Λ: set of model hyperparameters for t= 1 to T do Segmentation stage: Input: CT scan Image +Instances' Masks, Boxes, Class Labels (segmentation data) Compute and backprop  ... 
doi:10.1101/2020.12.29.20248987 fatcat:ez3ujryk3bb2xprjs5t7tvk3q4

Joint multiregion segmentation and parametric estimation of image motion by basis function representation and level set evolution

C. Vazquez, A. Mitiche, R. Laganiere
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The necessary conditions for a minimum of the functional, which are derived taking into consideration the dependence of the motion parameters on segmentation, lead to an algorithm which condenses to concurrent  ...  The purpose of this study is to investigate a variational method for joint segmentation and parametric estimation of image motion by basis function representation of motion and level set evolution.  ...  Finally, inclusion of the functional derivative of the second and third terms in (14) (derivations can be found, for instance, in [27] ) gives: @Eð Þ @ ¼ 1 2 À e 1 ð Þ À e 2 ð Þ þ ð Þ À rgð Þ Áñ nð Þ  ... 
doi:10.1109/tpami.2006.97 pmid:16640263 fatcat:svzmfqxdhjh7xbu2zfjrq3hg6y
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