SOTAVerified

Semantic Segmentation

Papers

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Showing 5251–5300 of 14763 papers

TitleStatusHype
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models—0
Weakly supervised image segmentation for defect-based grading of fresh produceCode0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models—0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
Open-Vocabulary Octree-Graph for 3D Scene Understanding—0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking—0
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan—0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation—0
Quantum-enhanced unsupervised image segmentation for medical images analysis—0
Effective SAM Combination for Open-Vocabulary Semantic Segmentation—0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Automating Sonologists USG Commands with AI and Voice Interface—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
ClickTrack: Towards Real-time Interactive Single Object Tracking—0
Entropy Bootstrapping for Weakly Supervised Nuclei Detection—0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
Visualizing Loss Functions as Topological Landscape Profiles—0
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT SegmentationCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
ADV2E: Bridging the Gap Between Analogue Circuit and Discrete Frames in the Video-to-Events Simulator—0
Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications—0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models—0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development—0
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image SegmentationCode0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain PatientsCode0
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation—0
Attention-based U-Net Method for Autonomous Lane Detection—0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified