UNET Segmentation
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Benchmarks
Most implemented
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation
Enhancing crop segmentation in satellite image time-series with transformer networks
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
Papers
Temporal Sensitivity Analysis of Tessera Embeddings
Many Earth Observation applications need land-use/land-cover maps that are both precise and frequently updated, yet the strongest Earth Observation foundation models build their embeddings from a full year of observation…
UNET SegmentationA reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model
In this work we present a novel framework for fire safety management in industrial settings through the implementation of a smart camera platform for jet flames characterization. The approach seeks to alleviate the lack …
UNET SegmentationTeacher-Student Model for Detecting and Classifying Mitosis in the MIDOG 2025 Challenge
Counting mitotic figures is time-intensive for pathologists and leads to inter-observer variability. Artificial intelligence (AI) promises a solution by automatically detecting mitotic figures while maintaining decision …
Representation LearningDomain GeneralizationMulti-Task LearningUNET SegmentationRegion of Interest based Medical Image Compression
The vast volume of medical image data necessitates efficient compression techniques to support remote healthcare services. This paper explores Region of Interest (ROI) coding to address the balance between compression ra…
DiagnosticImage CompressionUNET SegmentationA high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation
Computer-aided diagnosis has been slow to develop in the field of oral ulcers. One of the major reasons for this is the lack of publicly available datasets. However, oral ulcers have cancerous lesions and their mortality…
Image SegmentationLesion SegmentationMedical Image ClassificationMedical Image Segmentation+1Enhancing crop segmentation in satellite image time-series with transformer networks
Recent studies have shown that Convolutional Neural Networks (CNNs) achieve impressive results in crop segmentation of Satellite Image Time-Series (SITS). However, the emergence of transformer networks in various vision …
SegmentationSemantic SegmentationTime SeriesUNET Segmentation