SOTAVerified

Semantic Segmentation

Papers

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Showing 9951–10000 of 14763 papers

TitleStatusHype
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT—0
Putting 3D Spatially Sparse Networks on a Diet—0
MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation—0
ROSS: Radar Off-road Semantic Segmentation—0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation—0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging—0
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments—0
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection—0
RPG: Learning Recursive Point Cloud Generation—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—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
Pushing the Boundaries of Boundary Detection using Deep Learning—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
PUPS: Point Cloud Unified Panoptic Segmentation—0
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation—0
Pull the Plug? Predicting If Computers or Humans Should Segment Images—0
Pulling Things out of Perspective—0
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution—0
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar—0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation—0
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation—0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer—0
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning—0
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage—0
PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation—0
UVIS: Unsupervised Video Instance Segmentation—0
RUN: Reversible Unfolding Network for Concealed Object Segmentation—0
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance—0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging—0
Pseudo Pixel-level Labeling for Images with Evolving Content—0
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos—0
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds—0
S3LAM: Structured Scene SLAM—0
m-RevNet: Deep Reversible Neural Networks with Momentum—0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
S3Net: 3D LiDAR Sparse Semantic Segmentation Network—0
Pseudo Mask Augmented Object Detection—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
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—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