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Semantic Segmentation

Papers

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Showing 10101–10150 of 14763 papers

TitleStatusHype
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting—0
Prompt-Matched Semantic Segmentation—0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes—0
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction—0
Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation—0
ARM: A Confidence-Based Adversarial Reweighting Module for Coarse Semantic Segmentation—0
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks—0
Sampling-based Uncertainty Estimation for an Instance Segmentation Network—0
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes—0
Sampling of Planar Curves: Theory and Fast Algorithms—0
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data—0
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding—0
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning—0
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges—0
Prompt-Driven Referring Image Segmentation with Instance Contrasting—0
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation—0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Prompt-Based Tuning of Transformer Models for Multi-Center Medical Image Segmentation of Head and Neck Cancer—0
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model—0
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2—0
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays—0
SANeRF-HQ: Segment Anything for NeRF in High Quality—0
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images—0
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation—0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images—0
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation—0
ProMamba: Prompt-Mamba for polyp segmentation—0
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model—0
SAR image segmentation algorithms based on I-divergence-TV model—0
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation—0
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling—0
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT—0
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization—0
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks—0
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch—0
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition—0
Progressive refinement: a method of coarse-to-fine image parsing using stacked network—0
Generalized Coarse-to-Fine Visual Recognition with Progressive Training—0
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping—0
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images—0
SATR: Zero-Shot Semantic Segmentation of 3D Shapes—0
SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation—0
Progressively Dual Prior Guided Few-shot Semantic Segmentation—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
Progressively Diffused Networks for Semantic Image Segmentation—0
Variational Context-Deformable ConvNets for Indoor Scene Parsing—0
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation—0
Variational Image Segmentation Model Coupled with Image Restoration Achievements—0
Variational multichannel multiclass segmentation using unsupervised lifting with CNNs—0
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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