标题
Exploiting Sublimated Deep Features for Image Retrieval
作者
关键词
-
出版物
PATTERN RECOGNITION
Volume -, Issue -, Pages 110076
出版商
Elsevier BV
发表日期
2023-10-27
DOI
10.1016/j.patcog.2023.110076
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Exploiting deep textures for image retrieval
- (2022) Guang-Hai Liu et al. International Journal of Machine Learning and Cybernetics
- Deep Learning for Instance Retrieval: A Survey
- (2022) Wei Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval
- (2021) Syed Sameed Husain et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep-seated features histogram: A novel image retrieval method
- (2021) Guang-Hai Liu et al. PATTERN RECOGNITION
- A Decade Survey of Content Based Image Retrieval Using Deep Learning
- (2021) Shiv Ram Dubey IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Image Retrieval Using the Intensity Variation Descriptor
- (2020) Zhao Wei et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Image Retrieval Based on a Multi-Integration Features Model
- (2020) Kai Chu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Image Retrieval Using the Fused Perceptual Color Histogram
- (2020) Guang-Hai Liu et al. Computational Intelligence and Neuroscience
- Color and orientation are jointly coded and spatially organized in primate primary visual cortex
- (2019) Anupam K. Garg et al. SCIENCE
- Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval
- (2018) Soumendu Chakraborty et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Exploiting color volume and color difference for salient region detection
- (2018) Guang-Hai Liu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
- (2018) Relja Arandjelovic et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fine-tuning CNN Image Retrieval with No Human Annotation
- (2018) Filip Radenovic et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Color texture description with novel local binary patterns for effective image retrieval
- (2018) Chandan Singh et al. PATTERN RECOGNITION
- Description and retrieval of geometric patterns on surface meshes using an edge-based LBP approach
- (2018) Elia Moscoso Thompson et al. PATTERN RECOGNITION
- Building discriminative CNN image representations for object retrieval using the replicator equation
- (2018) Shanmin Pang et al. PATTERN RECOGNITION
- Deep convolutional networks do not classify based on global object shape
- (2018) Nicholas Baker et al. PLoS Computational Biology
- Improving Large-Scale Image Retrieval Through Robust Aggregation of Local Descriptors
- (2017) Syed Sameed Husain et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multichannel Decoded Local Binary Patterns for Content-Based Image Retrieval
- (2016) Shiv Ram Dubey et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images
- (2015) Giorgos Tolias et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Content-based image retrieval using computational visual attention model
- (2015) Guang-Hai Liu et al. PATTERN RECOGNITION
- Content-based image retrieval using color difference histogram
- (2012) Guang-Hai Liu et al. PATTERN RECOGNITION
- Aggregating Local Image Descriptors into Compact Codes
- (2011) H. Jegou et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Image retrieval based on micro-structure descriptor
- (2011) Guang-Hai Liu et al. PATTERN RECOGNITION
- Image retrieval based on multi-texton histogram
- (2010) Guang-Hai Liu et al. PATTERN RECOGNITION
- Image retrieval based on the texton co-occurrence matrix
- (2008) Guang-Hai Liu et al. PATTERN RECOGNITION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started