Figure 1. Basic Autoencoder architecture, showing encoder and decoder components [22]. Figure 2. AE-based framework for signal reconstruction, highlighting latent space compression. Recent ...

Specifically, in MA, we introduce an autoencoder architecture with a motion-aware masked strategy to reconstruct motion residuals of masked frames, thereby explicitly exploring dynamic motion cues ...

If so, can someone please explain the technical details of how the discriminator is incorporated into the loss function ? because i do not find its architecture. PS: If there is any discord server ...

As an alternative, we trained modified autoencoder networks to mimic human-like behavior in a binaural detection task. The autoencoder architecture emphasizes interpretability and, hence, we “opened ...

In this work, a convolutional neural network autoencoder has been used to reconstruct fingerprint images. An autoencoder is a technique, which is able to replicate data in the images. The advantage of ...

FIGURE 1. Autoencoder architecture for ADK protein. The Cartesian coordinates from the closed and open states of ADK trajectories are extracted as inputs. The encoder module is designed with ...