Evaluation of output embeddings for fine-grained image classification

Z Akata, S Reed, D Walter, H Lee… - Proceedings of the …, 2015 - openaccess.thecvf.com
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …
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[PDF] researchgate.net

[PDF][PDF] Evaluation of Output Embeddings for Fine-Grained Image Classification

Z Akata, S Reed, D Walter, H Lee, B Schiele - researchgate.net
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …
[PDF] umich.edu

[PDF][PDF] Evaluation of Output Embeddings for Fine-Grained Image Classification

Z Akata, S Reed, D Walter, H Lee, B Schiele - eecs.umich.edu
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …
[PDF] mpg.de

[PDF][PDF] Evaluation of Output Embeddings for Fine-Grained Image Classification

Z Akata, S Reed, D Walter, H Lee, B Schiele - mpi-inf.mpg.de
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …

Evaluation of output embeddings for fine-grained image classification

Z Akata, S Reed, D Walter, H Lee… - 2015 IEEE Conference on …, 2015 - computer.org
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …

Evaluation of Output Embeddings for Fine-Grained Image Classification

Z Akata, S Reed, D Walter, H Lee… - Proceedings of the IEEE …, 2015 - cv-foundation.org
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …

[引用][C] Evaluation of output embeddings for fine-grained image classification

Z Akata, S Reed, D Walter, H Lee… - 2015 IEEE Conference on …, 2015 - cir.nii.ac.jp
Evaluation of output embeddings for fine-grained image classification | CiNii Research CiNii
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[引用][C] Evaluation of Output Embeddings for Fine-grained Image Classification

Z Akata, S Reed, D Walter, H Lee, B Schiele - 2015 - publications.cispa.saarland
Evaluation of Output Embeddings for Fine-grained Image Classification - CISPA CISPA
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[PDF][PDF] Evaluation of Output Embeddings for Fine-Grained Image Classification

Z Akata, S Reed, D Walter, H Lee, B Schiele - scholar.archive.org
Image classification has advanced significantly in recent years with the availability of large-
scale image sets. However, fine-grained classification remains a major challenge due to the …

[引用][C] Evaluation of Output Embeddings for Fine-grained Image Classification

Z Akata, S Reed, D Walter, H Lee… - IEEE Conference on …, 2015 - pure.mpg.de
Evaluation of Output Embeddings for Fine-grained Image Classification :: MPG.PuRe 日本語
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