"At that point, we were creeping up towards 200 billion rows in the table of every single detection ... learning technique to analyze the entire dataset and flag potential variable objects.

Instead, these systems rely on facial recognition, along with other technologies powered ... advanced technologies within the Authority's systems. This stems from our deep belief in the importance of ...

Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level ... and extract high-level saliency from natural images through a contrastive learning framework. To ...

Abstract: The objective of few-shot object detection (FSOD) is to detect novel objects with ... sample viewpoints and formulate a novel generalized feature representation learning method for FSOD.

Kisantal M, Wojna Z, Murawski J, et al. Augmentation for small object detection[J]. arXiv preprint arXiv:1902.07296, 2019. pdf Make sure the file "/augmentation_zoo ...

This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection ...

This paper presents SD (Small object detection and DilateFormer ... These studies have successfully applied deep learning computer vision to buildings and industries, although especially in the field ...