arXiv Computer Vision research summaries for January 14, 2024.

Today's Research Themes (AI-Generated):

• Unsupervised domain adaptation enhanced by compact source domain representations and improved UDA performance.

• Ensemble models and self-supervised learning advance few-shot class-incremental learning by mitigating overfitting.

• Depth-agnostic dataset and convolutional skip connections significantly improve single image dehazing.

• Self-supervised cross-modal consistency in event-based monocular depth estimation demonstrates superior accuracy.

• 2D homography and advanced tracking techniques effectively enable high-resolution traffic data collection from CCTV.