Inception-v4 is a convolutional neural network architecture that builds on previous iterations of the Inception family by simplifying the architecture and using more inception modules than Inception-v3.
Source: Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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General Classification | 5 | 17.86% |
Image Classification | 3 | 10.71% |
Image Segmentation | 2 | 7.14% |
Semantic Segmentation | 2 | 7.14% |
Classification | 2 | 7.14% |
Lesion Segmentation | 2 | 7.14% |
Meta-Learning | 2 | 7.14% |
Semi-Supervised Image Classification | 1 | 3.57% |
Classifier calibration | 1 | 3.57% |