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Boundary Detection Benchmarking: Beyond F-Measures

Xiaodi Hou, Alan Yuille, Christof Koch
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
Then we analyze the computation of f-measure and point out that the current benchmarking protocol encourages an algorithm to bias towards those problematic "weak" boundary labels.  ...  Compared with the active research on finding a better boundary detector to refresh the performance record, there is surprisingly little discussion on the boundary detection benchmark itself.  ...  The list of boundary detection algorithms referred in this paper. Their F-measures increase over time.  ... 
doi:10.1109/cvpr.2013.276 dblp:conf/cvpr/HouYK13 fatcat:dg72w36haran3icn3h3g55pyp4

Semi global boundary detection

Roy Josef Jevnisek, Shai Avidan
2016 Computer Vision and Image Understanding  
This leads to a simple and efficient algorithm for boundary detection.  ...  Semi Global Boundary Detection (SGBD) breaks the image into scan lines in multiple orientations, segments each one independently, and combines the results into a final probabilistic 2D boundary map.  ...  Introduction The goal of this work is to accurately detect and localize boundaries in natural scenes using image measurements along scan lines.  ... 
doi:10.1016/j.cviu.2016.07.004 fatcat:oax3erxkxffqjaspdhduxpbqsq

Oriented Edge Forests for Boundary Detection [article]

Sam Hallman, Charless C. Fowlkes
2015 arXiv   pre-print
The resulting model outperforms published results on the challenging BSDS500 boundary detection benchmark.  ...  We present a simple, efficient model for learning boundary detection based on a random forest classifier.  ...  detection benchmark.  ... 
arXiv:1412.4181v2 fatcat:27gdmzjev5cyffxum7aqsbnb3i

Oriented edge forests for boundary detection

Sam Hallman, Charless C. Fowlkes
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
The resulting model outperforms published results on the challenging BSDS500 boundary detection benchmark.  ...  We present a simple, efficient model for learning boundary detection based on a random forest classifier.  ...  detection benchmark.  ... 
doi:10.1109/cvpr.2015.7298782 dblp:conf/cvpr/HallmanF15 fatcat:27bm3i7n4bas7giysc6asb6ry4

Beyond ${\chi^2}$ Difference: Learning Optimal Metric for Boundary Detection

Fei He, Shengjin Wang
2015 IEEE Signal Processing Letters  
After substituting χ^2 difference with LBM, the F-measure metric of mPb on the BSDS500 benchmark is increased from 0.69 to 0.71.  ...  Therefore, a measurement of dissimilarity between image regions plays a pivotal role in boundary detection of natural images.  ...  The F-measure metric on BSDS500 benchmark is increased to 0.71 (without globalization) and 0.73 (with globalization) respectively.  ... 
doi:10.1109/lsp.2014.2346232 fatcat:z4vonqxoejcwhnrevxbxps5lme

Multi-scale Improves Boundary Detection in Natural Images [chapter]

Xiaofeng Ren
2008 Lecture Notes in Computer Science  
In this work we empirically study the multi-scale boundary detection problem in natural images.  ...  This is the first time that multi-scale is demonstrated to improve boundary detection on large datasets of natural images.  ...  The F-measure of our results is 0.68, higher than most existing results on the Berkeley benchmark [22, 23, 11, 24, 25, 12] . On the grayscale version of the BSDS benchmark, our F-measure is 0.66.  ... 
doi:10.1007/978-3-540-88690-7_40 fatcat:gyrunul5jjgbfk5epphlpmqlme

Adaptive Edge-Oriented Shot Boundary Detection

Don Adjeroh, M. C. Lee, N. Banda, Uma Kandaswamy
2009 EURASIP Journal on Image and Video Processing  
We study the problem of video shot boundary detection using an adaptive edge-oriented framework. Our approach is distinct in its use of multiple multilevel features in the required processing.  ...  The reported work has applications beyond direct video indexing, and could be used in real-time applications, such as in dynamic monitoring and modeling of video data traffic in multimedia communications  ...  Introduction Video shot boundary detection (also called video partitioning or video segmentation) is a fundamental step in video indexing and retrieval, and in general video data management.  ... 
doi:10.1155/2009/859371 fatcat:aavfxpr5qrb63inpiefgcrirzi

Video shot boundary detection: Seven years of TRECVid activity

Alan F. Smeaton, Paul Over, Aiden R. Doherty
2010 Computer Vision and Image Understanding  
Shot boundary detection (SBD) is the process of automatically detecting the boundaries between shots in video.  ...  In this paper we present an overview of the TRECVid shot boundary detection task, a high-level overview of the most significant of the approaches taken, and a comparison of performances, focussing on one  ...  Where a single value for detection was needed, recall (R) and precision (P) were combined with equal weights in the F-measure (2*R*P/(R+P)).  ... 
doi:10.1016/j.cviu.2009.03.011 fatcat:w5kluejxi5bfrfrwq7jku7jgda

Detecting natural occlusion boundaries using local cues

C. DiMattina, S. A. Fox, M. S. Lewicki
2012 Journal of Vision  
Occlusion boundaries and junctions provide important cues for inferring three-dimensional scene organization from two-dimensional images.  ...  what features are used by the visual system to detect natural occlusions.  ...  We quantify the overall agreement between the test and reference edgemaps using the weighed harmonic mean of P and R defined by: F ¼ PR aP þ ð1 À aÞR : ð3Þ This quantity F is known as an F-measure and  ... 
doi:10.1167/12.13.15 pmid:23255731 pmcid:PMC4504335 fatcat:drubbc5enbfmblvnnk3a7nvr3q

Attentive Feedback Network for Boundary-Aware Salient Object Detection

Mengyang Feng, Huchuan Lu, Errui Ding
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Our proposed deep model produces satisfying results on the object boundaries and achieves state-of-the-art performance on five widely tested salient object detection benchmarks.  ...  A Boundary-Enhanced Loss (BEL) is further employed for learning exquisite boundaries.  ...  BEL A (l) ---3 5 F-measure.  ... 
doi:10.1109/cvpr.2019.00172 dblp:conf/cvpr/FengLD19 fatcat:wznerojm25hh7hpr7alvy7v7ze

Fully automatic lesion boundary detection in ultrasound breast images

M. H. Yap, E. A. Edirisinghe, H. E. Bez, Josien P. W. Pluim, Joseph M. Reinhardt
2007 Medical Imaging 2007: Image Processing  
Fully automatic lesion boundary detection in ultrasound breast images. ABSTRACT We propose a novel approach to fully automatic lesion boundary detection in ultrasound breast images.  ...  The lesion area is then separated from the background by a thresholding segmentation stage and the initial boundary is detected via edge detection.  ...  In some tools the technology provides functionality beyond straightforward computer-aided detection by providing cancer likelihood for a detected lesion, given image and/or patient characteristics [4]  ... 
doi:10.1117/12.708625 dblp:conf/miip/YapEB07 fatcat:73xjj6iyfncl3cy47ut4hbxue4

Playing for Benchmarks [article]

Stephan R. Richter and Zeeshan Hayder and Vladlen Koltun
2017 arXiv   pre-print
, object detection and tracking, object-level 3D scene layout, and visual odometry.  ...  We present a benchmark suite for visual perception.  ...  We benchmark the performance of Multi-task Network Cascades (MNC) [12] and of Boundary-aware Instance Segmentation (BAIS) [25] .  ... 
arXiv:1709.07322v1 fatcat:4m6glbtwyjfqtcvzsrmcapwita

Final Benchmark Description: FluidFlower International Benchmark Study

Jan M. Nordbotten, Martin Fernø, Bernd Flemisch, Ruben Juanes, Magne Jørgensen
2022 Zenodo  
This document assembles the information which was provided to the benchmark participants.  ...  Numerical benchmark studies of multi-phase flow in porous media generally lack a clearly defined ground truth.  ...  The FluidFlower boundaries are closed at the bottom and both left and right sides (no-flow boundaries).  ... 
doi:10.5281/zenodo.6807102 fatcat:yagqii7kn5ey3a4kqnnosnynnm

Unsupervised Detection of Music Boundaries by Time Series Structure Features

Joan Serrà, Meinard Müller, Peter Grosche, Josep Lluis Arcos
2021 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We demonstrate the usefulness of our approach in detecting music structure boundaries, a task that has received much attention in recent years and for which exist several benchmark datasets and publicly  ...  Importantly, our boundary approach is generic, thus being applicable to a wide range of time series beyond the music and audio domains.  ...  Experimental setup Datasets To evaluate our method in the context of music boundary detection we use two benchmark music datasets with boundary and structure annotations: Beatles and RWC-Pop.  ... 
doi:10.1609/aaai.v26i1.8328 fatcat:u7mcgrkk3zdrpfnxlvigcpysb4

Joint RNN Model for Argument Component Boundary Detection [article]

Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang
2017 arXiv   pre-print
Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as  ...  In particular, we propose a novel joint RNN model that can predict whether sentences are argumentative or not, and use the predicted results to more precisely detect the argument component boundaries.  ...  Figure 3 . joint RNN network for classification and boundary detection Joint RNN Model The joint model for argumentative sentence classification and sequence labeling in boundary detection is shown in  ... 
arXiv:1705.02131v1 fatcat:2uzdmtvx75aejk2wysefu2su7m
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