Image Segmentation
13개 벤치마크 · 논문 5,370편 · 이 태스크의 논문 보기 →
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
RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments
General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we introduce RobotWorl…
Image SegmentationFSANet: Frequency-Spatial Aware Network for Image Segmentation
Image segmentation remains challenging due to occlusions, poor lighting, and irregular structures. Although transformer-based methods achieve high accuracy, they rely heavily on long-range spatial features, leading to hi…
Image SegmentationCost-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 Segmentation