Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zeng, Fangao"'
Tooth segmentation is a critical technology in the field of medical image segmentation, with applications ranging from orthodontic treatment to human body identification and dental pathology assessment. Despite the development of numerous tooth image
Externí odkaz:
http://arxiv.org/abs/2409.03982
Unlike most previous HOI methods that focus on learning better human-object features, we propose a novel and complementary approach called category query learning. Such queries are explicitly associated to interaction categories, converted to image s
Externí odkaz:
http://arxiv.org/abs/2303.14005
In this paper, we propose an end-to-end framework for instance segmentation. Based on the recently introduced DETR [1], our method, termed SOLQ, segments objects by learning unified queries. In SOLQ, each query represents one object and has multiple
Externí odkaz:
http://arxiv.org/abs/2106.02351
Temporal modeling of objects is a key challenge in multiple object tracking (MOT). Existing methods track by associating detections through motion-based and appearance-based similarity heuristics. The post-processing nature of association prevents en
Externí odkaz:
http://arxiv.org/abs/2105.03247
Knowledge distillation(KD) aims to improve the performance of a student network by mimicing the knowledge from a powerful teacher network. Existing methods focus on studying what knowledge should be transferred and treat all samples equally during tr
Externí odkaz:
http://arxiv.org/abs/2008.01458