Title | ||
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Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks. |
Abstract | ||
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This paper tries to separate fine-grained images by jointly learning the encoding parameters and codebooks through low-rank sparse coding (LRSC) with general and class-specific codebook generation. Instead of treating each local feature independently, we encode the local features within a spatial region jointly by LRSC. This ensures that the spatially nearby local features with similar visual char... |
Year | DOI | Venue |
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2017 | 10.1109/TNNLS.2016.2545112 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Encoding,Image coding,Visualization,Image representation,Image reconstruction,Computers,Training | ENCODE,Feature detection (computer vision),U-matrix,Pattern recognition,Computer science,Neural coding,Visualization,Artificial intelligence,Contextual image classification,Machine learning,Codebook,Encoding (memory) | Journal |
Volume | Issue | ISSN |
28 | 7 | 2162-237X |
Citations | PageRank | References |
2 | 0.35 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunjie Zhang | 1 | 482 | 39.70 |
Chao Liang | 2 | 1059 | 77.92 |
Liang Li | 3 | 342 | 24.75 |
Jing Liu | 4 | 1781 | 88.09 |
Qingming Huang | 5 | 3919 | 267.71 |
Qi Tian | 6 | 6443 | 331.75 |