Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollár low, Zhuowen Tu, Kaiming He
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- Momentum Contrast for Unsupervised Visual Representation Learning→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- mixup: Beyond Empirical Risk Minimization→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- A State-of-the-Art Survey on Deep Learning Theory and Architectures→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- Towards Total Recall in Industrial Anomaly Detection→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders→Aggregated Residual Transformations for Deep Neural NetworksLegacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningLegacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningLegacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Aggregated Residual Transformations for Deep Neural Networks→DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n RecognitionLegacy edge — source detail unavailable
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningLegacy edge — source detail unavailable
- A State-of-the-Art Survey on Deep Learning Theory and Architectures→Deep Convolutional Neural Networks for Image Classification: A Comprehensive ReviewLegacy edge — source detail unavailable
- A State-of-the-Art Survey on Deep Learning Theory and Architectures→Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningLegacy edge — source detail unavailable
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
- Momentum Contrast for Unsupervised Visual Representation Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
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| Domain Adaptation and Few-Shot Learning | Computer Science |
| Advanced Neural Network Applications | Computer Science |
| Adversarial Robustness in Machine Learning | Computer Science |
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