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Wang S, Lu H, Yang F, et al. Superpixel tracking[C]. International Conference On Computer Vision, 2011: 1323-1330

基于超像素 时 空 特 征 的 视 频显著 性 检 测 方 法

基于超像素多特征融合的快速图像分割算法
 

Den Bergh M V, Boix X, Roig G, et al. SEEDS: Superpixels Extracted Via Energy-Driven Sampling[J]. International Journal of Computer Vision, 2015, 111(3): 298-314.

[18] Wang C Y,Chen J Z,Li W .Review on superpixel segmentation algorithms[J].Application Research of Computers,2014,31(1):6-12.

[19] Felzenszwalb P F, Huttenlocher D P. Efficient Graph-Based Image Segmentation[J]. International Journal of Computer Vision, 2004, 59(2): 167-181.

[20] Moore A P, Prince S J, Warrell J, et al. Superpixel lattices[C]. Computer Vision and Pattern Recognition, 2008.

[21] Liu M, Tuzel O, Ramalingam S, et al. Entropy rate superpixel segmentation[C]. Computer Vision and Pattern Recognition, 2011: 2097-2104.

[22] Achanta R, Shaji A, Smith K, et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.、

[23] Kanungo T, Mount D M, Netanyahu N S, et al. An efficient k-means clustering algorithm: analysis and implementation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(7): 881-892.

[24] Achanta R, Susstrunk S. Superpixels and Polygons Using Simple Non-iterative Clustering[C]. Computer Vision and Pattern Recognition, 2017: 4895-4904.

[25] Li Z, Chen J. Superpixel segmentation using Linear Spectral Clustering[C]. Computer Vision and Pattern Recognition, 2015: 1356-1363.

[26] Weikersdorfer D, Gossow D, Beetz M, et al. Depth-adaptive superpixels[C]. International Conference on Pattern Recognition, 2012: 2087-2090.

[27] Tu W, Liu M, Jampani V, et al. Learning Superpixels with Segmentation-Aware Affinity Loss [C]. Computer Vision and Pattern Recognition, 2018: 568-576.

[28] Jampani V, Sun D, Liu M, et al. Superpixel Sampling Networks[C]. European Conference on Computer Vision, 2018: 363-380. 

基于改进亲和度图的矿石颗粒图像分割研究与实现

[34] Cheng Y. Mean shift, mode seeking, and clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.

[35] 14 Wang W, Wu Y, Tang C, et al. Adaptive density-based spatial clustering of applications with noise (DBSCAN) according to data[C]. International Conference on Machine Learning and Cybernetics, 2015: 445-451.

[36] Gadde R, Jampani V, Kiefel M, et al. Superpixel Convolutional Networks using Bilateral Inceptions[C]. European Conference on Computer Vision, 2016: 597-613.

[37] Lafferty J, Mccallum A, Pereira F, et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data[C]. International Conference on Machine Learning, 2001: 282-289.

[38] Long J, Shelhamer E, Darrell T, et al. Fully convolutional networks for semantic segmentation [C]. Computer Vision and Pattern Recognition, 2015: 3431-3440.

[39] Chen L, Papandreou G, Kokkinos I, et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(4): 834-848

[40] Vu T, Jain H, Bucher M, et al. DADA: Depth-aware Domain Adaptation in Semantic Segmentation[C]. Computer Vision and Pattern Recognition, 2019.

[41] Silva C C, Nogueira K, Oliveira H N, et al. Towards Open-Set Semantic Segmentation of Aerial Images[C]. Computer Vision and Pattern Recognition, 2020.

[42] Ren C Y, Prisacariu V A, Reid I, et al. gSLICr: SLIC superpixels at over 250Hz[C]. Computer Vision and Pattern Recognition, 2015.

[43] Yang L, Zhang L, Dong H, et al. Evaluating and Improving the Depth Accuracy of Kinect for Windows v2[J]. IEEE Sensors Journal, 2015, 15(8): 4275-4285.

[44] Zennaro S, Munaro M, Milani S, et al. Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications[C]. International Conference on Multimedia and Expo, 2015: 1-6.

[45] Huang C, Wang W, Wang W, et al. USEAQ: Ultra-Fast Superpixel Extraction via Adaptive Sampling From Quantized Regions[J]. IEEE Transactions on Image Processing, 2018, 27(10): 4916-4931.

[46] Silberman N, Hoiem D, Kohli P, et al. Indoor segmentation and support inference from RGBD images[C]. European Conference on Computer Vision, 2012: 746-760.

[47] Stutz D, Hermans A, Leibe B, et al. Superpixels: An evaluation of the state-of-the-art[J]. Computer Vision and Image Understanding, 2018: 1-27.

[48] Boykov Y, Jolly M. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images[C]. International Conference on Computer Vision, 2001: 105-112.

[49] Franchetti F , Kral S , Lorenz J , et al. Efficient Utilization of SIMD Extensions[J]. Proceedings of the IEEE, 2005, 93(2):p.409-425.

[50] Sculley D. Web-scale k-means clustering[C]. The Web Conference, 2010: 1177-1178

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