SOTAVerified

Segmentation

Papers

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Showing 5001–5050 of 13072 papers

TitleStatusHype
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part SegmentationCode1
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation—0
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
Understanding Imbalanced Semantic Segmentation Through Neural Collapse—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning—0
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data SetsCode1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance SegmentationCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
Segmentation based tracking of cells in 2D+time microscopy images of macrophages—0
Learning Confident Classifiers in the Presence of Label Noise—0
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionCode2
Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos—0
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan—0
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation—0
Video Action Segmentation via Contextually Refined Temporal Keypoints—0
Disentangle then Parse: Night-time Semantic Segmentation with Illumination DisentanglementCode1
High Quality Entity Segmentation—0
PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel ClusteringCode1
MasQCLIP for Open-Vocabulary Universal Image SegmentationCode1
Video State-Changing Object SegmentationCode0
SegGPT: Towards Segmenting Everything in Context—0
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning—0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSDCode0
Multi-view Spectral Polarization Propagation for Video Glass Segmentation—0
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision—0
Foreground-Background Separation through Concept Distillation from Generative Image Foundation ModelsCode1
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak SupervisionCode1
Query Refinement Transformer for 3D Instance Segmentation—0
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical ImagesCode2
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye ViewCode1
Video Object Segmentation-aware Video Frame InterpolationCode1
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario—0
LAC - Latent Action Composition for Skeleton-based Action Segmentation—0
Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware SynthesisCode1
Segment Every Reference Object in Spatial and Temporal Spaces—0
WaterMask: Instance Segmentation for Underwater ImageryCode1
Uni-3D: A Universal Model for Panoptic 3D Scene ReconstructionCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation OnlyCode0
TopoSeg: Topology-Aware Nuclear Instance SegmentationCode0
DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective—0
Multispectral Video Semantic Segmentation: A Benchmark Dataset and BaselineCode1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image SegmentationCode1
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class—0
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image SegmentationCode1
Tree Instance Segmentation With Temporal Contour Graph—0
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified