activity
20202026
most citedLoss Functions in the Era of Semantic Segmentation: A Survey and Outlook

23 citations · 48 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 23 cited

Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reza Azad, Moein Heidary, Kadir Yilmaz +5

Semantic image segmentation, the process of classifying each pixel in an image into a particular class, plays an important role in many visual understanding systems. As the predomi…

eess.IV2023★ 6 cited

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation

Yuli Wu, Weidong He, Dennis Eschweiler +5

Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to syn…

cs.CV2023

Semi-supervised Instance Segmentation with a Learned Shape Prior

Long Chen, Weiwen Zhang, Yuli Wu +2

To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth. Here, we…

cs.CV2023

SortedAP: Rethinking evaluation metrics for instance segmentation

Long Chen, Yuli Wu, Johannes Stegmaier +1

Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy. However, other important properties,…

eess.IV2023★ 6 cited

A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation

Yuli Wu, Ivan Karetic, Johannes Stegmaier +2

We propose a neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. The overall pipeline consists of a trainable…