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Object detection by labeling superpixels
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Object detection is often conducted by object proposal generation and classification sequentially. This paper handles object detection in a superpixel oriented manner instead of the proposal oriented. Specially, this paper takes object detection as a multi-label superpixel labeling problem by minimizing an energy function. It uses the data cost term to
Junjie Yan +4 more
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Haze removal on superpixel domain
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013Haze and fog cause poor visibility for vision sensor, and make computer vision problems challenging. In this paper, we propose a new de-hazing method for single image on super-pixel domain. One of widely used approaches for de-hazing is to introduce dark channel prior.
Sang-Woo Noh, Byungtae Ahn, In-So Kweon
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A generative superpixel method.
2014Superpixel methods have become popular in recent years as they provide an efficient preprocessing tool for a manifold of computer vision applications. In this work, we propose a method based on a self-adapting and self-growing network, which is bred starting from two random initialization seeds in the image.
MORERIO, PIETRO +2 more
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2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair Philip Moore +4 more
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Alastair Philip Moore +4 more
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Weakly-Supervised Action Localization Based on Seed Superpixels
Multimedia Tools and Applications, 2021Muhammad Zia +2 more
exaly
Extended SLIC Superpixels Algorithm for Applications to Non-Imagery Geospatial Rasters
International Journal of Applied Earth Observation and Geoinformation, 2022Tomasz F. Stepinski, Jakub Nowosad
exaly
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Sven Josef Dickinson +2 more
exaly

