SOTAVerified

Semantic Segmentation

Papers

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Showing 2401–2450 of 14763 papers

TitleStatusHype
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image PreprocessingCode0
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D ScenesCode1
Video Inpainting Localization with Contrastive LearningCode1
Depth-Guided Semi-Supervised Instance Segmentation—0
Point-SAM: Promptable 3D Segmentation Model for Point CloudsCode3
Medical Image Segmentation Using Directional Window AttentionCode0
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
PVUW 2024 Challenge on Complex Video Understanding: Methods and ResultsCode4
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and EvaluationCode1
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation—0
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
Instance Consistency Regularization for Semi-Supervised 3D Instance SegmentationCode1
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation—0
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic SurgeryCode1
Self-Supervised Alignment Learning for Medical Image Segmentation—0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set—0
SelfReg-UNet: Self-Regularized UNet for Medical Image SegmentationCode2
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation—0
TraceNet: Segment one thing efficiently—0
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive FieldsCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data—0
Trusting Semantic Segmentation Networks—0
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed ImagesCode1
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
Deep Learning-Based 3D Instance and Semantic Segmentation: A Review—0
Trusted Video Inpainting Localization via Deep Attentive Noise LearningCode0
Elliptical AttentionCode0
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component AnalysisCode1
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
Reparameterizable Dual-Resolution Network for Real-time Semantic SegmentationCode1
Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble—0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation—0
MiSuRe is all you need to explain your image segmentation—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic SegmentationCode1
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes—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