SOTAVerified

Semantic Segmentation

Papers

Showing 99519975 of 14763 papers

TitleStatusHype
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT0
Putting 3D Spatially Sparse Networks on a Diet0
MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation0
ROSS: Radar Off-road Semantic Segmentation0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation0
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging0
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments0
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection0
RPG: Learning Recursive Point Cloud Generation0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information0
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation0
RAR-U-Net: a Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation under Noisy Labels0
RRSIS: Referring Remote Sensing Image Segmentation0
Pushing the Boundaries of Boundary Detection using Deep Learning0
RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation0
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks0
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation0
PUPS: Point Cloud Unified Panoptic Segmentation0
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation0
Pull the Plug? Predicting If Computers or Humans Should Segment Images0
Pulling Things out of Perspective0
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution0
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified