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Semantic Segmentation

Papers

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Showing 7001–7050 of 14763 papers

TitleStatusHype
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic SegmentationCode1
Extending nnU-Net is all you need—0
Deep Structural Causal Shape Models—0
Consistency Regularization for Domain AdaptationCode0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
InstanceFormer: An Online Video Instance Segmentation FrameworkCode1
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation—0
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningCode0
Prompt-Matched Semantic Segmentation—0
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic SegmentationCode1
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-MaximizationCode1
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationCode2
Persuasion Strategies in AdvertisementsCode1
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesCode1
Test-time Training for Data-efficient UCDRCode0
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
Low-light Enhancement Method Based on Attention Map Net—0
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Unifying Visual Perception by Dispersible Points LearningCode1
Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss—0
Single-Stage Open-world Instance Segmentation with Cross-task Consistency RegularizationCode0
Open-Vocabulary Universal Image Segmentation with MaskCLIPCode1
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance SegmentationCode1
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation—0
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
FEC: Fast Euclidean Clustering for Point Cloud SegmentationCode2
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual EnvironmentsCode1
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memoryCode1
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI—0
Implementation of improved RGBD 3D target detection model based on FPGA heterogeneous computing architecture—0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—0
Uni6Dv2: Noise Elimination for 6D Pose Estimation—0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation—0
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments—0
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV—0
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes—0
Domain-invariant Prototypes for Semantic Segmentation—0
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic SegmentationCode1
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer—0
BEiT v2: Masked Image Modeling with Vector-Quantized Visual TokenizersCode0
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationCode1
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator—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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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