Search Results for author:
Found 5 papers, 2 papers with code
FSViewFusion: Few-Shots View Generation of Novel Objects
Second, we establish that the concept of a view can be disentangled and transferred to a novel object irrespective of the original object's identify from which the views are learnt.
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
First, modifying only the class token of the text prompt results in a greater impact on the Class Activation Map (CAM), compared to arguably more complex strategies that optimize the context.
Few-Shot Learning
Weakly supervised Semantic Segmentation
+1
UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection
The proposed model has been implemented for joint OD and OC segmentation on three publicly available datasets: DRISHTI-GS, RIM-ONE R3, and REFUGE.
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation
The scarcity of pixel-level annotation is a prevalent problem in medical image segmentation tasks.
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
The rapid increment of morbidity of brain stroke in the last few years have been a driving force towards fast and accurate segmentation of stroke lesions from brain MRI images.
