SOTAVerified

Semantic Segmentation

Papers

Showing 13261350 of 14763 papers

TitleStatusHype
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps0
SyncVIS: Synchronized Video Instance SegmentationCode1
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
SPF-Net: Solar panel fault detection using U-Net based deep learning image classification0
TAROT: Targeted Data Selection via Optimal TransportCode1
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation0
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable AttentionCode0
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
Retrieval-guided Cross-view Image Synthesis0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs0
Efficient Track AnythingCode7
Textured As-Is BIM via GIS-informed Point Cloud Segmentation0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception0
Track Anything Behind Everything: Zero-Shot Amodal Video Object Segmentation0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation0
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers0
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving0
On Moving Object Segmentation from Monocular Video with Transformers0
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation0
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting0
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation0
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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