SOTAVerified

Segmentation

Papers

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Showing 201–250 of 13072 papers

TitleStatusHype
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic SegmentationCode2
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic SegmentationCode2
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary SegmentationCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image SegmentationCode2
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation FrameworkCode2
RefMask3D: Language-Guided Transformer for 3D Referring SegmentationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Exploiting Scale-Variant Attention for Segmenting Small Medical ObjectsCode2
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosCode2
Training-free CryoET Tomogram SegmentationCode2
SCSA: Exploring the Synergistic Effects Between Spatial and Channel AttentionCode2
A Unified Framework for 3D Scene UnderstandingCode2
HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationCode2
Context-Aware Video Instance SegmentationCode2
SegVG: Transferring Object Bounding Box to Segmentation for Visual GroundingCode2
Centerline Boundary Dice Loss for Vascular SegmentationCode2
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessCode2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
SelfReg-UNet: Self-Regularized UNet for Medical Image SegmentationCode2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
Understanding Multi-Granularity for Open-Vocabulary Part SegmentationCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
U-KAN Makes Strong Backbone for Medical Image Segmentation and GenerationCode2
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized CutCode2
Generative Active Learning for Long-tailed Instance SegmentationCode2
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor SynthesisCode2
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic SegmentationCode2
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
Memorize What Matters: Emergent Scene Decomposition from MultitraverseCode2
Reason3D: Searching and Reasoning 3D Segmentation via Large Language ModelCode2
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token PredictionCode2
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion ModelsCode2
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep LearningCode2
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale AttentionCode2
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CTCode2
PTQ4SAM: Post-Training Quantization for Segment AnythingCode2
Multi-Space Alignments Towards Universal LiDAR SegmentationCode2
GraCo: Granularity-Controllable Interactive SegmentationCode2
ASAM: Boosting Segment Anything Model with Adversarial TuningCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
Multimodal Information Interaction for Medical Image SegmentationCode2
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image SegmentationCode2
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic SegmentationCode2
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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