Conditional Gaussian Distribution Learning for Open Set Recognition
@article{Sun2020ConditionalGD, title={Conditional Gaussian Distribution Learning for Open Set Recognition}, author={Xin Sun and Zhenning Yang and Chi Zhang and Guohao Peng and Keck-Voon Ling}, journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2020}, pages={13477-13486} }
Deep neural networks have achieved state-of-the-art performance in a wide range of recognition/classification tasks. However, when applying deep learning to real-world applications, there are still multiple challenges. A typical challenge is that unknown samples may be fed into the system during the testing phase and traditional deep neural networks will wrongly recognize the unknown sample as one of the known classes. Open set recognition is a potential solution to overcome this problem, where… CONTINUE READING
Figures and Tables from this paper
9 Citations
Open Set Recognition with Conditional Probabilistic Generative Models
- Computer Science, Mathematics
- ArXiv
- 2020
- PDF
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification
- Computer Science
- ArXiv
- 2020
- PDF
Semi-supervised learning with an open augmenting unknown class for cost-effective training and reliable classifications.
- Computer Science, Mathematics
- 2020
- PDF
CRNet: Cross-Reference Networks for Few-Shot Segmentation
- Computer Science
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 2020
- 12
- PDF
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
- Computer Science, Engineering
- 2020
- 3
- PDF
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers
- Computer Science
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 2020
- 36
- PDF
Weakly Supervised Segmentation with Maximum Bipartite Graph Matching
- Computer Science
- ACM Multimedia
- 2020
- 1
References
SHOWING 1-10 OF 46 REFERENCES
Classification-Reconstruction Learning for Open-Set Recognition
- Computer Science
- 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 2019
- 43
- Highly Influential
- PDF
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition
- Computer Science
- 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 2019
- 41
- PDF
Towards Open Set Deep Networks
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 369
- PDF
Toward Open Set Recognition
- Computer Science, Medicine
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2013
- 440
- Highly Influential
- PDF
Towards Open World Recognition
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 204
- PDF
Deep Residual Learning for Image Recognition
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 59,908
- PDF
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
- Computer Science
- ArXiv
- 2015
- 638
- PDF