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Found 6 papers, 2 papers with code
Towards Unsupervised Eye-Region Segmentation for Eye Tracking
To achieve accurate parsing of the eye-region, we first leverage the pretrained foundation model Segment Anything (SAM) in an automatic way to refine the eye indications.
CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation
Parsing of eye components (i. e. pupil, iris and sclera) is fundamental for eye tracking and gaze estimation for AR/VR products.
Improving Crowded Object Detection via Copy-Paste
Crowdedness caused by overlapping among similar objects is a ubiquitous challenge in the field of 2D visual object detection.
Body-Face Joint Detection via Embedding and Head Hook
Detecting pedestrians and their associated faces jointly is a challenging task. On one hand, body or face could be absent because of occlusion or non-frontal human pose. On the other hand, the association becomes difficult or even miss-leading in crowded scenes due to the lack of strong correlational evidence.
Visible Feature Guidance for Crowd Pedestrian Detection
Then we perform NMS only on visible bounding boxes to achieve the best fitting full box in inference.
Matching Guided Distillation
However, this introduces two problems: a) The adaptation module brings more parameters into training.
