SOTAVerified

Semantic Segmentation

Papers

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Showing 4501–4550 of 14763 papers

TitleStatusHype
CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image—0
Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space—0
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme—0
MASSeg : 2nd Technical Report for 4th PVUW MOSE TrackCode0
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials—0
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines—0
Real-time Seafloor Segmentation and Mapping—0
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation—0
FVOS for MOSE Track of 4th PVUW Challenge: 3rd Place Solution—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention—0
AerOSeg: Harnessing SAM for Open-Vocabulary Segmentation in Remote Sensing Images—0
PathSeqSAM: Sequential Modeling for Pathology Image Segmentation with SAM2Code0
STSeg-Complex Video Object Segmentation: The 1st Solution for 4th PVUW MOSE Challenge—0
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data GenerationCode0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data—0
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing—0
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization—0
DSM: Building A Diverse Semantic Map for 3D Visual Grounding—0
Multi-person Physics-based Pose Estimation for Combat Sports—0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework—0
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation—0
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability—0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development—0
Conditional Conformal Risk Adaptation—0
SydneyScapes: Image Segmentation for Australian Environments—0
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration—0
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
Domain Generalization through Attenuation of Domain-Specific InformationCode0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging—0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images—0
Towards Varroa destructor mite detection using a narrow spectra illumination—0
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection—0
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM—0
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image SegmentationCode0
Here Comes the Explanation: A Shapley Perspective on Multi-contrast Medical Image Segmentation—0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan—0
UCS: A Universal Model for Curvilinear Structure Segmentation—0
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans—0
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining—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