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Semantic Segmentation

Papers

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Showing 12401–12450 of 14763 papers

TitleStatusHype
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection—0
Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model—0
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling—0
Building Height Prediction with Instance Segmentation—0
Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation—0
Building Networks for Image Segmentation using Particle Competition and Cooperation—0
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework—0
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning—0
Buildings Classification using Very High Resolution Satellite Imagery—0
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Building Vision Transformers with Hierarchy Aware Feature Aggregation—0
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation—0
BUNET: Blind Medical Image Segmentation Based on Secure UNET—0
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation—0
BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation—0
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially—0
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning—0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation—0
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing—0
Real-time Semantic Segmentation with Context Aggregation Network—0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation—0
CADFormer: Fine-Grained Cross-modal Alignment and Decoding Transformer for Referring Remote Sensing Image Segmentation—0
CaDIS: Cataract Dataset for Image Segmentation—0
CAE v2: Context Autoencoder with CLIP Target—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
CAFENet: Class-Agnostic Few-Shot Edge Detection Network—0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation—0
CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting—0
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs—0
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels—0
Calculation of Femur Caput Collum Diaphyseal angle for X-Rays images using Semantic Segmentation—0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Robust Processing-In-Memory Neural Networks via Noise-Aware Normalization—0
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View—0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification—0
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results—0
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation—0
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection—0
Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering—0
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite—0
Camouflaged Instance Segmentation via Explicit De-Camouflaging—0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation—0
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
Candidate Constrained CRFs for Loss-Aware Structured Prediction—0
Can fully convolutional networks perform well for general image restoration problems?—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