SOTAVerified

Semantic Segmentation

Papers

Showing 44014425 of 14763 papers

TitleStatusHype
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation0
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation0
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels0
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
OmniLRS: A Photorealistic Simulator for Lunar RoboticsCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road EnvironmentsCode1
NISF: Neural Implicit Segmentation FunctionsCode1
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images0
BROW: Better featuRes fOr Whole slide image based on self-distillation0
Segment Anything Model for Brain Tumor Segmentation0
X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary CorrectionCode1
Robust Burned Area Delineation through Multitask LearningCode1
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point cloudsCode1
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point CloudsCode0
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology ImagesCode1
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation0
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement0
Temporal-aware Hierarchical Mask Classification for Video Semantic SegmentationCode0
Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery0
JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation through Self-Attention and Multiscale0
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy0
Dynamic Spectrum Mixer for Visual Recognition0
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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