SOTAVerified

Semantic Segmentation

Papers

Showing 79518000 of 14763 papers

TitleStatusHype
Image Segmentation For Improved Lossless Screen Content Compression0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
VTPNet for 3D deep learning on point cloud0
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic SegmentationCode0
Self-Supervised Instance Segmentation by Grasping0
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)0
DMNR: Unsupervised De-noising of Point Clouds Corrupted by Airborne Particles0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Real-time instance segmentation with polygons using an Intersection-over-Union lossCode0
Can point cloud networks learn statistical shape models of anatomies?Code0
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images0
Controllable Light Diffusion for Portraits0
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive FieldsCode0
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation0
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis0
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting0
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation0
White Matter Hyperintensities Segmentation Using Probabilistic TransUNet0
MAF-Net: Multiple attention-guided fusion network for fundus vascular image segmentation0
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural NetworkCode0
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation0
Semantic Segmentation using Vision Transformers: A survey0
Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation0
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest0
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention0
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation0
Smaller3d: Smaller Models for 3D Semantic Segmentation Using Minkowski Engine and Knowledge Distillation MethodsCode0
Conditional and Residual Methods in Scalable Coding for Humans and MachinesCode0
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture0
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN0
Mci-net: multi-scale context integrated network for liver ct image segmentationCode0
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation0
Neural LiDAR Fields for Novel View Synthesis0
Exploring vision transformer layer choosing for semantic segmentation0
MASNet: A Robust Deep Marine Animal Segmentation NetworkCode0
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation0
Point Cloud Semantic Segmentation0
Detecting Novelties with Empty Classes0
Learning Structured Output Representations from Attributes using Deep Conditional Generative Models0
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected0
Sensor Equivariance by LiDAR Projection Images0
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques0
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters0
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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