SOTAVerified

Semantic Segmentation

Papers

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Showing 351–400 of 14763 papers

TitleStatusHype
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing—0
Rethinking RGB-Event Semantic Segmentation with a Novel Bidirectional Motion-enhanced Event RepresentationCode0
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and OutlookCode2
Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction—0
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead—0
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection—0
Neuroevolution of Self-Attention Over Proto-Objects—0
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing ImageryCode0
OpenAVS: Training-Free Open-Vocabulary Audio Visual Segmentation with Foundational Models—0
RadSAM: Segmenting 3D radiological images with a 2D promptable model—0
SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation—0
LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic InsightCode0
Learning a General Model: Folding Clothing with Topological Dynamics—0
OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentationCode1
Hierarchical Context Learning of object components for unsupervised semantic segmentationCode0
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area DelineationCode0
Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding—0
GSFF-SLAM: 3D Semantic Gaussian Splatting SLAM via Feature Field—0
DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal LearningCode0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving—0
What is the Added Value of UDA in the VFM Era?Code1
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation—0
Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak-Texture Endoscopic Images—0
Masked strategies for images with small objects—0
3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations—0
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image SegmentationCode1
SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar BeetsCode1
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections—0
RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory—0
SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation—0
DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining—0
Object Learning and Robust 3D Reconstruction—0
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg—0
Segmentation with Noisy Labels via Spatially Correlated DistributionsCode0
TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models—0
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
WT-BCP: Wavelet Transform based Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode0
NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation—0
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training—0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation—0
Lightweight Road Environment Segmentation using Vector Quantization—0
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection—0
Occlusion-Ordered Semantic Instance Segmentation—0
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis—0
Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence MatchingCode0
Learning from Noisy Pseudo-labels for All-Weather Land Cover MappingCode1
DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images—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