How to Evaluate Foreground Maps
How to Evaluate Foreground Maps - IEEE Xplore
How to Evaluate Foreground Maps. Abstract: The output of many algorithms in computer-vision is either non-binary maps or binary maps (e.g., salient object ...
[PDF] How to Evaluate Foreground Maps - Semantic Scholar
This paper shows that the most commonly-used measures for evaluating both non-binary maps and binary maps do not always provide a reliable evaluation, ...
Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection ...
Structure-measure: A New Way to Evaluate Foreground Maps - arXiv
We propose a novel, efficient, and easy to calculate measure known an structural similarity measure (Structure-measure) to evaluate non-binary foreground maps.
Structure-measure: A New Way to Evaluate Foreground Maps
Evaluate Foreground Maps. Deng-Ping Fan1. Ming-Ming Cheng1. Yun Liu1. Tao Li1. Ali Borji2. 2. 1. ICCV 2017 (Spotlight). Page 2. Goal. Ground Truth (GT).
Structure-Measure: A New Way to Evaluate Foreground Maps
We propose a novel, efficient (0.005 s per image), and easy to calculate measure known as S-measure (structural measure) to evaluate foreground maps.
Structure-Measure: A New Way to Evaluate Foreground Maps
We propose a novel, efficient (0.005 s per image), and easy to calculate measure known as S-measure (structural measure) to evaluate foreground maps.
Structure-Measure: A New Way to Evaluate Foreground Maps
Here, we propose a novel, efficient, and easy to calculate measure known an structural similarity measure (Structure-measure) to evaluate non- ...
Structure-Measure: A New Way to Evaluate Foreground Maps
A novel, efficient, and easy to calculate measure known as S-measure (structural measure) to evaluate foreground maps, which simultaneously evaluates ...
Structure-measure: A New Way to Evaluate Foreground Maps ...
Structure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight) - DengPingFan/S-measure.
How to Evaluate Foreground Maps - IEEE Computer Society
The output of many algorithms in computer-vision is either non-binary maps or binary maps (e.g., salient object detection and object segmentation).
Structure-Measure: A New Way to Evaluate Foreground Maps
PDF | On Oct 1, 2017, Deng-Ping Fan and others published Structure-Measure: A New Way to Evaluate Foreground Maps | Find, read and cite all the research you ...
Structure-Measure: A New Way to Evaluate Foreground Maps.
Abstract: Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object ...
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Abstract. The existing binary foreground map (FM) measures address various types of errors in either pixel-wise or structural ways.
How to Evaluate Foreground Maps | Proceedings of the 2014 IEEE ...
How to Evaluate Foreground Maps ; Ran Margolin ; Lihi Zelnik-Manor ; Ayellet Tal.
Structure-measure: A New Way to Evaluate Foreground Maps - 程明明
We propose a novel, efficient, and easy to calculate measure known an structural similarity measure (Structure-measure) to evaluate non-binary foreground maps.
How to evaluate foreground maps — Technion
How to evaluate foreground maps. / Margolin, Ran; Zelnik-Manor, Lihi; Tal, Ayellet. Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
Structure-measure: A New Way to Evaluate Foreground Maps
GT foreground FM For Object-Level, we evaluate the foreground and background similarity, respectively. Foreground parts of ground truth and corresponding ...
Enhanced-alignment Measure for Binary Foreground Map Evaluation
In this paper, we take a detailed look at current binary FM evaluation measures and propose a novel and effective E-measure (Enhanced-alignment measure). Our ...
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Enhanced-alignment Measure for Binary Foreground Map Evaluation, IJCAI 2018 (Oral) - DengPingFan/E-measure.