Image Segmentation
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Benchmarks
PMD
MAS3K
Pascal Panoptic Parts
RMAS
PASCAL VOC
HuTu 80
MARIDA
COCO val2017
EVD4UAV
ImageNet
MSD Heart
OxfordPets
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Papers
Cost-efficient Active Learning for Referring Image Segmentation and Grounding
Collecting natural-language referring expressions along with region annotations, such as masks or boxes, is a major bottleneck in visual grounding (VG), as annotators must write descriptions that distinguish target regio…
Image SegmentationVisual GroundingActive LearningMCSeg: Pre-training and Fine-tuning Volumetric Pyramid Transformer for Multi-modal Cardiac Image Segmentation
Automatic cardiac image segmentation is pivotal for diagnosing and treating cardiac diseases. In this work, we introduce MCSeg, a volumetric transformer-based network tailored for multi-modal cardiac segmentation. To ove…
Image SegmentationFU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on manually designed scanning orders to fla…
Image SegmentationThe canonical facets of multi-separator polytopes
We initiate a polyhedral study of the graph multi-separator problem proposed by Irmai et al. (2024) as an alternative to the lifted multicut problem for application to the task of image segmentation. Starting with an int…
Image SegmentationDiCoR: Decoupled Referent Disambiguation and Contour Recalibration for Efficient Referring Remote Sensing Image Segmentation
Referring remote sensing image segmentation (RRSIS) aims to delineate targets specified by natural language expressions in remote sensing imagery. Existing methods mainly follow joint fusion segmentation (JFS) or decoupl…
Image SegmentationAeroReformer2: Spoken-Query Referring Segmentation for Aerial Images
Spoken language offers a natural, hands-free interface for specifying an arbitrary target in dense remote-sensing imagery, yet existing referring remote-sensing image segmentation benchmarks accept only written expressio…
Image Segmentation