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Semantic Segmentation

Papers

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Showing 12301–12350 of 14763 papers

TitleStatusHype
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once—0
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being—0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction—0
Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets—0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation—0
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning—0
Blending Learning and Inference in Structured Prediction—0
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support—0
BlindSpotNet: Seeing Where We Cannot See—0
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition—0
Block Annotation: Better Image Annotation With Sub-Image Decomposition—0
Blurring Structure and Learning to Optimize and Adapt Receptive Fields—0
BodyGAN: General-Purpose Controllable Neural Human Body Generation—0
BOLD: Boolean Logic Deep Learning—0
Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)—0
BoLTVOS: Box-Level Tracking for Video Object Segmentation—0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation—0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
Boosting Few-shot Semantic Segmentation with Transformers—0
Boosting Image Outpainting with Semantic Layout Prediction—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging—0
Boosting Medical Image Classification with Segmentation Foundation Model—0
Towards annotation-efficient segmentation via image-to-image translation—0
Boosting Semantic Segmentation via Feature Enhancement—0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning—0
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension—0
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation—0
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis—0
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures—0
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network—0
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation—0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—0
Bottom-Up Segmentation for Top-Down Detection—0
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation—0
Towards Complementary Knowledge Distillation for Efficient Dense Image Prediction—0
Boundary-Aware 3D Building Reconstruction From a Single Overhead Image—0
Boundary-aware Graph Reasoning for Semantic Segmentation—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
Boundary-aware Instance Segmentation—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
Boundary feature fusion network for tooth image segmentation—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