Titlebook: Marine Pollution; Diagnosis and Therap Sebastian A. Gerlach Book 1981 Springer-Verlag Berlin Heidelberg 1981 Meeresverschmutzung.Ocean.indu

独行者

Sebastian A. Gerlachppearance consistency of the same polyp, an image consistency (IC) loss is designed. Such IC loss explicitly narrows the distance between features extracted by two different networks, which improves the robustness of the model. Note that our BoxPolyp is a plug-and-play model, which can be merged int

LIMIT

hegemony

Sebastian A. Gerlachrove the overall performance of the model compared to state-of-the-art segmentation methods. We explore four different datasets and provide insights for size-specific improvements. Our proposed . (TGANet) can generalize well to variable-sized polyps in different datasets. Codes are available at ..

B-cell

Sebastian A. Gerlach multi-scale framework to predict the displacement fields in a coarse-to-fine manner, superior performance can be achieved compared with traditional and learning-based approaches. Comprehensive experiments on two public datasets are conducted to demonstrate the effectiveness of the proposed Deformer

Hemiplegia

Sebastian A. Gerlachtasets, we identified and confirmed a small number of landmarks with potential localization errors and found that, in some cases, the landmark distribution was not ideal for an unbiased assessment of non-rigid registration errors. Under discussion, we provide some constructive suggestions for improv

争论

Melatonin

Mendicant

Sebastian A. Gerlachto accommodate newly emerging classes. These heads enable independent predictions for newly introduced and previously learned classes, effectively minimizing the impact of new classes on old ones during the course of continual learning. We further propose incorporating Contrastive Language-Image Pre

STENT

Sebastian A. Gerlachuests or inflated computation costs. This paper introduces a novel technique for selecting annotation regions adaptively, mitigating the reliance on this AL hyperparameter. Specifically, we dynamically determine each region by first identifying an informative area and then detecting its optimal boun

真繁荣