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Found 5 papers, 0 papers with code
Pyramid Feature Attention Network for Monocular Depth Prediction
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE).
X-MLP: A Patch Embedding-Free MLP Architecture for Vision
However, existing vision MLP architectures always depend on convolution for patch embedding.
Learn to Enhance the Negative Information in Convolutional Neural Network
In this way, LENI can enhance the model representational capacity significantly while maintaining the original advantages of ReLU.
Jitter: Random Jittering Loss Function
As Jitter point acting as a random factor, we actually add some randomness to the loss function, which is consistent with the fact that there exists innumerable random behaviors in the learning process of the machine learning model and is supposed to make the model more robust.
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
This paper proposes a novel nonlinear activation mechanism typically for convolutional neural network (CNN), named as reborn mechanism.
