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Semantic Segmentation

Papers

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Showing 10601–10650 of 14763 papers

TitleStatusHype
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network—0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
Robust Submodular Minimization with Applications to Cooperative Modeling—0
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer—0
Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation—0
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks—0
Robust Vision Challenge 2020 -- 1st Place Report for Panoptic Segmentation—0
Robust Visual Tracking by Motion Analyzing—0
ROI-based Deep Image Compression with Swin Transformers—0
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization—0
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT—0
ROSS: Radar Off-road Semantic Segmentation—0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments—0
RPG: Learning Recursive Point Cloud Generation—0
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation—0
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels—0
RRSIS: Referring Remote Sensing Image Segmentation—0
RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation—0
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation—0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation—0
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar—0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer—0
RUN: Reversible Unfolding Network for Concealed Object Segmentation—0
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds—0
S3LAM: Structured Scene SLAM—0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
S3Net: 3D LiDAR Sparse Semantic Segmentation Network—0
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving—0
S^3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM—0
S4M: Segment Anything with 4 Extreme Points—0
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation—0
SSR-2D: Semantic 3D Scene Reconstruction from 2D Images—0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation—0
S^5Mars: Semi-Supervised Learning for Mars Semantic Segmentation—0
SACANet: scene-aware class attention network for semantic segmentation of remote sensing images—0
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways—0
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools—0
SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality—0
SAI3D: Segment Any Instance in 3D Scenes—0
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines—0
SAIP-Net: Enhancing Remote Sensing Image Segmentation via Spectral Adaptive Information Propagation—0
SAIS: Single-stage Anchor-free Instance 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