Occluded Face Detection
4 papers with code • 1 benchmarks • 2 datasets
Latest papers
DSFD: Dual Shot Face Detector
In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progressive loss design and anchor assign based data augmentation, respectively.
Face Attention Network: An Effective Face Detector for the Occluded Faces
The performance of face detection has been largely improved with the development of convolutional neural network.
Adversarial Occlusion-aware Face Detection
This paper introduces an Adversarial Occlusion-aware Face Detector (AOFD) by simultaneously detecting occluded faces and segmenting occluded areas.
Occlusion Coherence: Detecting and Localizing Occluded Faces
The presence of occluders significantly impacts object recognition accuracy.