| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yifeng Ding, Zhanyu Ma, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhongwei Si, Ming Wu, Haibin Lin. AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-02-17. PMID:33556008. |
our solution, named attention pyramid convolutional neural network (ap-cnn), consists of 1) a dual pathway hierarchy structure with a top-down feature pathway and a bottom-up attention pathway, hence learning both high-level semantic and low-level detailed feature representation, and 2) an roi-guided refinement strategy with roi-guided dropblock and roi-guided zoom-in operation, which refines features with discriminative local regions enhanced and background noises eliminated. |
2021-02-17 |
2023-08-13 |
Not clear |
| Zhanghui Liu, Yudong Zhang, Yuzhong Chen, Xinwen Fan, Chen Don. Detection of Algorithmically Generated Domain Names Using the Recurrent Convolutional Neural Network with Spatial Pyramid Pooling. Entropy (Basel, Switzerland). vol 22. issue 9. 2020-12-10. PMID:33286827. |
we then employ the spatial pyramid pooling strategy to refine the contextual representation by capturing multi-scale contextual information from domain names. |
2020-12-10 |
2023-08-13 |
Not clear |
| Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Y. SAFNet: A Semi-anchor-free Network with Enhanced Feature Pyramid for Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2020-10-12. PMID:33026987. |
however, the current methods of constructing feature pyramid usually blindly integrate multi-scale representations on each feature hierarchy. |
2020-10-12 |
2023-08-13 |
Not clear |
| Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Y. SAFNet: A Semi-anchor-free Network with Enhanced Feature Pyramid for Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2020-10-12. PMID:33026987. |
the paradigm adaptively integrates multi-scale representations in a non-linear method meanwhile suppress the redundant semantic information for each pyramid level, such that a clean and enhanced feature pyramid could be obtained. |
2020-10-12 |
2023-08-13 |
Not clear |
| Hang Chang, Bahram Parvi. Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets. Proceedings. IEEE Workshop on Applications of Computer Vision. vol 2015. 2020-10-01. PMID:25729338. |
in this paper, we propose a novel method based on locality-constrained dictionary learning for the discrimination of aberrant colony organization in phase images, which encodes original sift (scale-invariant feature transform) features into high dimensional sparse codes with locality-preserving landmark points on the nonlinear manifold, and summarizes the sparse features at various locations and scales through spatial pyramid matching for robust representation. |
2020-10-01 |
2023-08-13 |
Not clear |
| Jonathan T Barron, Pablo Arbeláez, Soile V E Keränen, Mark D Biggin, David W Knowles, Jitendra Mali. Volumetric Semantic Segmentation using Pyramid Context Features. Proceedings. IEEE International Conference on Computer Vision. vol 2013. 2020-10-01. PMID:26029008. |
at the core of our algorithm is a novel "pyramid context" feature, a descriptive representation designed such that exact per-voxel linear classification can be made extremely efficient. |
2020-10-01 |
2023-08-13 |
drosophila_melanogaster |
| Hang Chang, Yin Zhou, Alexander Borowsky, Kenneth Barner, Paul Spellman, Bahram Parvi. Stacked Predictive Sparse Decomposition for Classification of Histology Sections. International journal of computer vision. vol 113. issue 1. 2020-10-01. PMID:27721567. |
the learned representation is then fed into the spatial pyramid matching framework with a linear support vector machine classifier. |
2020-10-01 |
2023-08-13 |
Not clear |
| Yin Zhou, Hang Chang, Kenneth Barner, Paul Spellman, Bahram Parvi. Classification of Histology Sections via Multispectral Convolutional Sparse Coding. Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops. vol 2014. 2020-09-29. PMID:25554749. |
the learned feature representations are then aggregated through the spatial pyramid matching framework (spm) and finally classified using a linear svm. |
2020-09-29 |
2023-08-13 |
Not clear |
| Pouria Sadeghi-Tehran, Kasra Sabermanesh, Nicolas Virlet, Malcolm J Hawkesfor. Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering. Frontiers in plant science. vol 8. 2020-09-29. PMID:28289423. |
scale invariant feature transformation feature extraction technique is used for lower level feature extraction; subsequently, local linear constraint coding and spatial pyramid matching are developed in the mid-level representation stage. |
2020-09-29 |
2023-08-13 |
Not clear |
| Anitha Ganesan, Anbarasu Balasubramania. Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors. Visual computing for industry, biomedicine, and art. vol 2. issue 1. 2020-09-28. PMID:32240408. |
scgwd was developed by combining proposed ohta color-gist wavelet descriptors with census transform histogram (centrist) spatial pyramid representation descriptors for categorizing indoor versus outdoor scenes. |
2020-09-28 |
2023-08-13 |
Not clear |
| Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhan. Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2020-09-21. PMID:32946383. |
to address this issue, we propose a novel graph reasoning network (grnet) on a similarity pyramid, which learns similarities between a query and a gallery cloth by using both initially pairwise multi-scale feature representations and matching propagation for unaligned ones. |
2020-09-21 |
2023-08-13 |
Not clear |
| Krati Gupta, Arnav Bhavsar, Anil K Sa. Detecting mitotic cells in HEp-2 images as anomalies via one class classifier. Computers in biology and medicine. vol 111. 2020-09-08. PMID:31326866. |
the feature representation of the non-mitotic class includes morphology, texture, and convolutional neural network (cnn) based feature representations, coupled with bag-of-words (bow) and spatial pyramid pooling (spp) based summarization techniques. |
2020-09-08 |
2023-08-13 |
Not clear |
| Amalia Luque, Ana De Las Heras, María Jesús Ávila-Gutiérrez, Francisco Zamora-Pol. ADAPTS: An Intelligent Sustainable Conceptual Framework for Engineering Projects. Sensors (Basel, Switzerland). vol 20. issue 6. 2020-04-21. PMID:32168788. |
a graphic representation pyramid shape is shown to clearly define the variables of the proposed conceptual framework and their relationships. |
2020-04-21 |
2023-08-13 |
Not clear |
| Xiaohong Zhang, Liqing Jiang, Dongxu Yang, Jinyan Yan, Xinhong L. Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image. Journal of medical systems. vol 43. issue 11. 2020-03-30. PMID:31641865. |
secondly, squeeze-and-excitation block is embedded to learn feature weights, using feature re-calibration to improve network representation, and the robustness of the network is enhanced by adding spatial pyramid pooling. |
2020-03-30 |
2023-08-13 |
Not clear |
| Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yan. Robust Visual Tracking via Hierarchical Convolutional Features. IEEE transactions on pattern analysis and machine intelligence. vol 41. issue 11. 2020-03-10. PMID:30106709. |
we interpret the hierarchical features of convolutional layers as a nonlinear counterpart of an image pyramid representation and explicitly exploit these multiple levels of abstraction to represent target objects. |
2020-03-10 |
2023-08-13 |
Not clear |
| Xiaoqing Li, Xuming Zhang, Mingyue Din. A sum-modified-Laplacian and sparse representation based multimodal medical image fusion in Laplacian pyramid domain. Medical & biological engineering & computing. vol 57. issue 10. 2020-02-20. PMID:31410692. |
a sum-modified-laplacian and sparse representation based multimodal medical image fusion in laplacian pyramid domain. |
2020-02-20 |
2023-08-13 |
Not clear |
| Xiaoqing Li, Xuming Zhang, Mingyue Din. A sum-modified-Laplacian and sparse representation based multimodal medical image fusion in Laplacian pyramid domain. Medical & biological engineering & computing. vol 57. issue 10. 2020-02-20. PMID:31410692. |
here, we present a multimodal medical images fusion method combining the sum-modified-laplacian (sml) with sparse representation (sr) in the laplacian pyramid domain. |
2020-02-20 |
2023-08-13 |
Not clear |
| Feng Li, Huihui Bai, Yao Zha. Learning a Deep Dual Attention Network for Video Super-Resolution. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2020-02-19. PMID:32070957. |
the mcnet progressively learns the optical flow representations to synthesize the motion information across adjacent frames in a pyramid fashion. |
2020-02-19 |
2023-08-13 |
Not clear |
| Yan Li, Ruiping Wang, Zhen Cui, Shiguang Shan, Xilin Che. Spatial Pyramid Covariance-Based Compact Video Code for Robust Face Retrieval in TV-Series. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 25. issue 12. 2019-11-20. PMID:27740484. |
besides, we further extend the descriptive granularity of covariance matrix from traditional pixel-level to more general patch-level, and proceed to propose a novel hierarchical video representation named spatial pyramid covariance along with a fast calculation method. |
2019-11-20 |
2023-08-13 |
Not clear |
| Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chan. Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. vol 9900. 2019-11-20. PMID:28018994. |
to address these issues, we propose a novel approach for integrative analysis based on cellular morphometric context, which is a robust representation of wsi, with the emphasis on tumor architecture and tumor heterogeneity, built upon cellular level morphometric features within the spatial pyramid matching (spm) framework. |
2019-11-20 |
2023-08-13 |
Not clear |