SOTAVerified

Semantic Segmentation

Papers

Showing 901950 of 14763 papers

TitleStatusHype
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local RefinementCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Deep Instruction Tuning for Segment Anything ModelCode1
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsCode1
Deep learning approach to left ventricular non-compaction measurementCode1
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net modelsCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
Building Extraction from Remote Sensing Images via an Uncertainty-Aware NetworkCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
BuildingNet: Learning to Label 3D BuildingsCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
Decomposing 3D Scenes into Objects via Unsupervised Volume SegmentationCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
A Multi-Level Approach to Waste Object SegmentationCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Bootstraping Clustering of Gaussians for View-consistent 3D Scene UnderstandingCode1
Deep Projective 3D Semantic SegmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
Bootstrapped Masked Autoencoders for Vision BERT PretrainingCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion ModelsCode1
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
Decoupled Dynamic Filter NetworksCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
All you need are a few pixels: semantic segmentation with PixelPickCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
Capturing Omni-Range Context for Omnidirectional SegmentationCode1
CAR: Class-aware Regularizations for Semantic SegmentationCode1
CARIS: Context-Augmented Referring Image SegmentationCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
DeiSAM: Segment Anything with Deictic PromptingCode1
CARD: Semantic Segmentation with Efficient Class-Aware Regularized DecoderCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
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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