SOTAVerified

Semantic Segmentation

Papers

Showing 17011750 of 14763 papers

TitleStatusHype
Head-Free Lightweight Semantic Segmentation with Linear TransformerCode1
HEAL-SWIN: A Vision Transformer On The SphereCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentationCode1
Automating MedSAM by Learning Prompts with Weak Few-Shot SupervisionCode1
Deeply supervised salient object detection with short connectionsCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic SegmentationCode1
Active Label Correction for Semantic Segmentation with Foundation ModelsCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Deep Projective 3D Semantic SegmentationCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Clustering Plotted Data by Image SegmentationCode1
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus ImagesCode1
DeepSatData: Building large scale datasets of satellite images for training machine learning modelsCode1
Autoregressive Unsupervised Image SegmentationCode1
All you need are a few pixels: semantic segmentation with PixelPickCode1
Auto Seg-Loss: Searching Metric Surrogates for Semantic SegmentationCode1
AutoSweep: Recovering 3D Editable Objectsfrom a Single PhotographCode1
Exploiting Temporal State Space Sharing for Video Semantic SegmentationCode1
Evidential fully convolutional network for semantic segmentationCode1
Adversarial Examples for Semantic Segmentation and Object DetectionCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Active learning for medical image segmentation with stochastic batchesCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and BenchmarkCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Deep Variational Instance SegmentationCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
A water-obstacle separation and refinement network for unmanned surface vehiclesCode1
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image SegmentationCode1
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge DevicesCode1
Deformable Mamba for Wide Field of View SegmentationCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Deformable Convolutional NetworksCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
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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