mlsanityData to 7 Oct 2026

Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning

arXiv 2303.12424 ↗First posted 22 Mar 2023cs.CV cs.LGcited by 14

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Abstract (arXiv)

Event-based cameras offer reliable measurements for preforming computer vision tasks in high-dynamic range environments and during fast motion maneuvers. However, adopting deep learning in event-based vision faces the challenge of annotated data scarcity due to recency of event cameras. Transferring the knowledge that can be obtained from conventional camera annotated data offers a practical solution to this challenge. We develop an unsupervised domain adaptation algorithm for training a deep network for event-based data image classification using contrastive learning and uncorrelated conditioning of data. Our solution outperforms the existing algorithms for this purpose.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 46 of its 66 references that are in the map. First posted on arXiv 22 Mar 2023.

Builds on

46 of 66 references.

References · 46

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34 more
  1. 2019On the Variance of the Adaptive Learning Rate and Beyondcited by 763
  2. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  3. 2016Deep Transfer Learning with Joint Adaptation Networkscited by 609
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  8. 2015Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccadescited by 308
  9. 2016Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networkscited by 307
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  11. 2019End-to-End Learning of Representations for Asynchronous Event-Based Datacited by 216
  12. 2018HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classificationcited by 215
  13. 2018Multi-Adversarial Domain Adaptationcited by 195
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  16. 2019Video to Events: Recycling Video Datasets for Event Camerascited by 162
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 9; 2025: 2; 2026: 1.

14 papers.

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  1. 2023Improved Region Proposal Network for Enhanced Few-Shot Object Detectioncited by 5
  2. 2025From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Camerascited by 3
  3. 2025Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Surveycited by 3
  4. 2024Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replaycited by 1
  5. 2024Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Imagescited by 1
  6. 2023Robust Internal Representations for Domain Generalizationcited by 0
  7. 2024Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representationscited by 0
  8. 2024Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptationcited by 0
  9. 2024Unsupervised Federated Domain Adaptation for Segmentation of MRI Imagescited by 0
  10. 2024Unsupervised Domain Adaptation Using Compact Internal Representationscited by 0
  11. 2024OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Camerascited by 0
  12. 2024A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanismcited by 0
2 more
  1. 2024Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloudcited by 0
  2. 2026Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Trainingcited by 0