SOTAVerified

Semantic Segmentation

Papers

Showing 39514000 of 14763 papers

TitleStatusHype
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image AnalysisCode1
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
Diverse Branch Block: Building a Convolution as an Inception-like UnitCode1
Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking ApplicationsCode1
blob loss: instance imbalance aware loss functions for semantic segmentationCode1
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and SegmentationCode1
Anatomically-aware Uncertainty for Semi-supervised Image SegmentationCode1
Multi Kernel Positional Embedding ConvNeXt for Polyp SegmentationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Dilated convolution with learnable spacingsCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelCode1
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image SegmentationCode1
NexToU: Efficient Topology-Aware U-Net for Medical Image SegmentationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with SuperpixelsCode1
Distilling Knowledge via Knowledge ReviewCode1
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at NightCode1
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
MultiNet: Real-time Joint Semantic Reasoning for Autonomous DrivingCode1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video ReconstructionCode1
NISF: Neural Implicit Segmentation FunctionsCode1
Multi-modal Learning with Missing Modality via Shared-Specific Feature ModellingCode1
Distance Guided Channel Weighting for Semantic SegmentationCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Dissecting Self-Supervised Learning Methods for Surgical Computer VisionCode1
MMSFormer: Multimodal Transformer for Material and Semantic SegmentationCode1
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time SeriesCode1
Multimodal Token Fusion for Vision TransformersCode1
DIOD: Self-Distillation Meets Object DiscoveryCode1
Boosting Active Learning via Improving Test PerformanceCode1
An Auto-Encoder Strategy for Adaptive Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
Directional Deep Embedding and Appearance Learning for Fast Video Object SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationCode1
Mumford-Shah Loss Functional for Image Segmentation with Deep LearningCode1
Diverse Image Synthesis from Semantic Layouts via Conditional IMLECode1
Using deep convolutional neural networks for neonatal brain image segmentationCode1
Multiple Object Stitching for Unsupervised Representation LearningCode1
Using DUCK-Net for Polyp Image SegmentationCode1
Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial LearningCode1
UTNet: A Hybrid Transformer Architecture for Medical Image SegmentationCode1
Multi-scale and Cross-scale Contrastive Learning for Semantic SegmentationCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic SegmentationCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
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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