Работы, цитирующие эту работу

Работ: 5

Работа: Adversarial Discriminative Domain Adaptation

1. On the Effectiveness of Image Rotation for Open Set Domain Adaptation

   Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi

   ПрепринтDomain Adaptation and Few-Shot LearningLecture notes in computer science2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.preprint.000001

2. Joint Supervised and Self-Supervised Learning for 3D Real World Challenges

   Antonio Alliegro, Davide Boscaini, Tatiana Tommasi

   Препринт3D Shape Modeling and Analysis2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000005

3. Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery

   Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1

   ПрепринтRemote Sensing in AgricultureRemote Sensing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000033

4. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

   Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

   ПрепринтEEG and Brain-Computer InterfacesarXiv (Cornell University)2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000027

5. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

   Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

   СтатьяEmotion and Mood RecognitionNeurocomputing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000079