Inception v2 is the second generation of Inception convolutional neural network architectures which notably uses batch normalization. Other changes include dropping dropout and removing local response normalization, due to the benefits of batch normalization.
Source: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Object Detection | 5 | 29.41% |
Autonomous Driving | 3 | 17.65% |
Image Classification | 2 | 11.76% |
Anomaly Detection | 1 | 5.88% |
Supervised Anomaly Detection | 1 | 5.88% |
2D Cyclist Detection | 1 | 5.88% |
Traffic Sign Detection | 1 | 5.88% |
Autonomous Vehicles | 1 | 5.88% |
Video Prediction | 1 | 5.88% |