Scene APIs DescribeScenes DescribeAllScenes Auto Scaling Introduction API Category Making API Requests Request Structure Common Params Signature v3 Signature Responses History Scheduled Action APIs ModifyScheduledAction DescribeScheduledActions DeleteScheduledAction CreateScheduledAction Launch Configuration APIs Modify...
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Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report GenerationGenerating surgical reports aimed at surgical scene understanding in\nrobot-assisted surgery can contribute to documenting entry tasks and\npost-operative analysis. Despite the impressive outcome, the deep learning...
icarl: Incremental classi- fier and representation learning. In CVPR, pages 2001–2010, 2017. 3 [50] Christos Sakaridis, Dengxin Dai, and Luc Van Gool. ACDC: The adverse conditions dataset with correspondences for se- mantic driving scene understanding. In ICCV, October 2021. 1, 6 [51] ...
Fruit detection and counting are essential tasks for horticulture research. With computer vision technology development, fruit detection techniques based on deep learning have been widely used in modern orchards. However, most deep learning-based fruit d
Incremental DA Conference Lifelong Domain Adaptation via Consolidated Internal Distribution [NeurIPS2021] Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning [CVPR2021] ConDA: Continual Unsupervised Domain Adaptation [CVPR2021] Gradient Regularized Contrastive Learning for Conti...
Incremental DA Conference Lifelong Domain Adaptation via Consolidated Internal Distribution [NeurIPS2021] Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning [CVPR2021] ConDA: Continual Unsupervised Domain Adaptation [CVPR2021] Gradient Regularized Contrastive Learning for Conti...
3 shows the effects of incremental addition of sub- networks to estimate defocus maps from synthetic (upper row) and real (lower row) images. Given a synthetic image, DMENetB estimates a defocus map reasonably well. How- ever, for a real defocused image, the sole use of subnetwor...
Incremental DA Conference Lifelong Domain Adaptation via Consolidated Internal Distribution [NeurIPS2021] Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning [CVPR2021] ConDA: Continual Unsupervised Domain Adaptation [CVPR2021] Gradient Regularized Contrastive Learning for Conti...
Incremental DA Conference Lifelong Domain Adaptation via Consolidated Internal Distribution [NeurIPS2021] Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning [CVPR2021] ConDA: Continual Unsupervised Domain Adaptation [CVPR2021] Gradient Regularized Contrastive Learning for Conti...