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Semantic Segmentation

Papers

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Showing 12351–12400 of 14763 papers

TitleStatusHype
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation—0
Boundary-guided Feature Aggregation Network for Salient Object Detection—0
Boundary Knowledge Translation based Reference Semantic Segmentation—0
Boundary-rendering network for breast lesion segmentation in ultrasound images—0
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes—0
Boundary-sensitive Network for Portrait Segmentation—0
Boundary-weighted logit consistency improves calibration of segmentation networks—0
Bounding Box Embedding for Single Shot Person Instance Segmentation—0
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?—0
Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset—0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes—0
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation—0
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision—0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision—0
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR—0
BoxInst: High-Performance Instance Segmentation with Box Annotations—0
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation—0
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation—0
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network—0
Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet—0
Brain-Inspired Stepwise Patch Merging for Vision Transformers—0
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization—0
Brain MRI Segmentation using Rule-Based Hybrid Approach—0
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation—0
Deep models for stroke segmentation: do complex architectures always perform better?—0
Brain Tumor Detection Based on Bilateral Symmetry Information—0
Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information—0
Brain Tumor Segmentation: A Comparative Analysis—0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
Breaking the "Object" in Video Object Segmentation—0
Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image—0
Breast lesion segmentation in ultrasound images with limited annotated data—0
Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation—0
Bridging Category-level and Instance-level Semantic Image Segmentation—0
Bridging Classical and Modern Computer Vision: PerceptiveNet for Tree Crown Semantic Segmentation—0
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation—0
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation—0
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery—0
Broken News: Making Newspapers Accessible to Print-Impaired—0
BROW: Better featuRes fOr Whole slide image based on self-distillation—0
BshapeNet: Object Detection and Instance Segmentation with Bounding Shape Masks—0
Budget-aware Semi-Supervised Semantic and Instance Segmentation—0
Building extraction with vision transformer—0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—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