Results 171 to 180 of about 986,520 (234)

AINet: Association Implantation for Superpixel Segmentation [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Recently, some approaches are proposed to harness deep convolutional networks to facilitate superpixel segmentation. The common practice is to first evenly divide the image into a pre-defined number of grids and then learn to associate each pixel with ...
Yaxiong Wang, Yun-Chao Wei, Xueming Qian, Li Zhu, Yi Yang   +4 more
semanticscholar   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Content-Adaptive Superpixel Segmentation

IEEE Transactions on Image Processing, 2018
Superpixel segmentation targets at grouping pixels in an image into atomic regions whose boundaries align well with the natural object boundaries. This paper first proposes a new feature representation for superpixel segmentation that holistically embraces color, contour, texture, and spatial features.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
exaly   +3 more sources

Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning

IEEE Transactions on Image Processing, 2023
Deep learning (DL) based methods represented by convolutional neural networks (CNNs) are widely used in hyperspectral image classification (HSIC). Some of these methods have strong ability to extract local information, but the extraction of long-range ...
Chun-Hui Zhao, Boao Qin, Shou Feng, Wen-Xiang Zhu, Weiwei SUN, Wei Li, Xiu-Ping Jia   +6 more
semanticscholar   +1 more source

Ship Detection in SAR Images Based on Multilevel Superpixel Segmentation and Fuzzy Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2023
Superpixel can maintain the boundary of the target and reduce the influence of speckle noise, which has been widely applied to synthetic aperture radar (SAR) image target detection.
Qian Sun, Ming Liu, Shi-Chao Chen, Fugang Lu, Meng-Dao Xing   +4 more
semanticscholar   +1 more source

Superpixel segmentation with squeeze-and-excitation networks

Signal, Image and Video Processing, 2022
Jing-Jing Wang, Zhenye Luan, Zishu Yu, Jinwen Ren, Jun Gao, Kejiang Yuan, Hua-Qiang Xu   +6 more
semanticscholar   +3 more sources

Superpixel Convolution for Segmentation

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki   +3 more
openaire   +2 more sources

Lazy Random Walks for Superpixel Segmentation

IEEE Transactions on Image Processing, 2014
We present a novel image superpixel segmentation approach using the proposed lazy random walk (LRW) algorithm in this paper. Our method begins with initializing the seed positions and runs the LRW algorithm on the input image to obtain the probabilities of each pixel.
Xuelong Li, Wenguan Wang, Jianbing Shen
exaly   +4 more sources

FSNet: Frequency Domain Guided Superpixel Segmentation Network for Complex Scenes

ACM Multimedia, 2023
Existing superpixel segmentation algorithms mainly focus on natural image with high-quality, while neglecting the inevitable environment constraint in complex scenes. In this paper, we propose an end-to-end frequency domain guided superpixel segmentation
Hua Li, Junyan Liang, Wenjie Li, Wen-Hui Wu   +3 more
semanticscholar   +1 more source

Spherical superpixel segmentation

2016 IEEE International Conference on Multimedia and Expo (ICME), 2016
In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation.
Qiang Zhao 0005, Liang Wan, Jiawan Zhang
openaire   +2 more sources

Weak-Boundary Sensitive Superpixel Segmentation Based on Local Adaptive Distance

IEEE transactions on circuits and systems for video technology (Print), 2023
Superpixel segmentation provides a way to capture object boundaries unsupervised and has benefited many compute vision applications. However, under-segmentation for weak boundaries and poor compatibility with image feature representations often limit its
Limin Sun, Dong-Yang Ma, Xiao Pan, Yuan-Feng Zhou   +3 more
semanticscholar   +1 more source