Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Deng, Jiangfan"'
Finding the eye and parsing out the parts (e.g. pupil and iris) is a key prerequisite for image-based eye tracking, which has become an indispensable module in today's head-mounted VR/AR devices. However, a typical route for training a segmenter requ
Externí odkaz:
http://arxiv.org/abs/2410.06131
Parsing of eye components (i.e. pupil, iris and sclera) is fundamental for eye tracking and gaze estimation for AR/VR products. Mainstream approaches tackle this problem as a multi-class segmentation task, providing only visible part of pupil/iris, o
Externí odkaz:
http://arxiv.org/abs/2408.17231
Crowdedness caused by overlapping among similar objects is a ubiquitous challenge in the field of 2D visual object detection. In this paper, we first underline two main effects of the crowdedness issue: 1) IoU-confidence correlation disturbances (ICD
Externí odkaz:
http://arxiv.org/abs/2211.12110
Feature distillation is an effective way to improve the performance for a smaller student model, which has fewer parameters and lower computation cost compared to the larger teacher model. Unfortunately, there is a common obstacle - the gap in semant
Externí odkaz:
http://arxiv.org/abs/2008.09958
Heavy occlusion and dense gathering in crowd scene make pedestrian detection become a challenging problem, because it's difficult to guess a precise full bounding box according to the invisible human part. To crack this nut, we propose a mechanism ca
Externí odkaz:
http://arxiv.org/abs/2008.09993