SOTAVerified

Semantic Segmentation

Papers

Showing 71767200 of 14763 papers

TitleStatusHype
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingCode1
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic UpsamplingCode1
In Defense of Online Models for Video Instance SegmentationCode2
A System-driven Automatic Ground Truth Generation Method for DL Inner-City Driving Corridor Detectors0
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
Estimating Model Performance under Domain Shifts with Class-Specific Confidence ScoresCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
Latent Discriminant deterministic UncertaintyCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds0
Large-Kernel Attention for 3D Medical Image Segmentation0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures0
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
Segmentation of 3D Dental Images Using Deep Learning0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany0
Vision Transformers: From Semantic Segmentation to Dense PredictionCode3
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach0
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation0
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image0
Global and Local Features through Gaussian Mixture Models on Image Semantic SegmentationCode0
Is Integer Arithmetic Enough for Deep Learning Training?0
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification0
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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