SOTAVerified

Segmentation

Papers

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Showing 901–950 of 13072 papers

TitleStatusHype
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic SegmentationCode1
Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos—0
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance—0
Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNetCode0
Spike2Former: Efficient Spiking Transformer for High-performance Image SegmentationCode1
Pitfalls of topology-aware image segmentation—0
GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks EvaluationCode0
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language ModelsCode2
In-context learning for medical image segmentation—0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
Structural Pruning via Spatial-aware Information Redundancy for Semantic SegmentationCode0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
Open-World Panoptic Segmentation—0
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance SegmentationCode1
Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering—0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image SegmentationCode1
Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI—0
SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian SplattingCode1
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
QSM-RimDS: A detection and segmentation tool for paramagnetic rim lesions in multiple sclerosis—0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer—0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation—0
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation—0
Towards Open-Vocabulary Video Semantic SegmentationCode1
Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis—0
A feature refinement module for light-weight semantic segmentation network—0
EOV-Seg: Efficient Open-Vocabulary Panoptic SegmentationCode1
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?—0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp SegmentationCode1
A Deep Semantic Segmentation Network with Semantic and Contextual Refinements—0
DAKD: Data Augmentation and Knowledge Distillation using Diffusion Models for SAR Oil Spill Segmentation—0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality PredictionCode0
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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