SOTAVerified

Segmentation

Papers

Showing 451475 of 13072 papers

TitleStatusHype
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic SegmentationCode2
Caltech Aerial RGB-Thermal Dataset in the WildCode2
SimpleClick: Interactive Image Segmentation with Simple Vision TransformersCode2
Simplifying Object Segmentation with PixelLib LibraryCode2
Context-Aware Video Instance SegmentationCode2
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic SegmentationCode2
SoftGroup for 3D Instance Segmentation on Point CloudsCode2
Sparse Instance Activation for Real-Time Instance SegmentationCode2
Context Encoding for Semantic SegmentationCode2
SRFormer: Text Detection Transformer with Incorporated Segmentation and RegressionCode2
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorchCode2
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene UnderstandingCode2
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI ImagesCode2
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans AnalysisCode2
Temporal Action Segmentation: An Analysis of Modern TechniquesCode2
Cell Detection with Star-convex PolygonsCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation ModelsCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
The Missing Point in Vision Transformers for Universal Image SegmentationCode2
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token PredictionCode2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image SegmentationCode2
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box PromptsCode2
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Benchmark Results

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