Description
Minibatch Discrimination is a discriminative technique for generative adversarial networks where we discriminate between whole minibatches of samples rather than between individual samples. This is intended to avoid collapse of the generator.
Papers Using This Method
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN2024-08-13Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training2023-08-18Arabic aspect based sentiment analysis using bidirectional GRU based models2021-01-23Neural Photo Editing with Introspective Adversarial Networks2016-09-22Improved Techniques for Training GANs2016-06-10