SOTAVerified

Semantic Segmentation

Papers

Showing 58015850 of 14763 papers

TitleStatusHype
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model EstimationCode0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Geometry-Aware Instance Segmentation with Disparity MapsCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Practical Region-level Attack against Segment Anything ModelsCode0
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic SegmentationCode0
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI datasetCode0
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI SegmentationCode0
Geometry meets semantics for semi-supervised monocular depth estimationCode0
Leveraging Self-supervised Denoising for Image SegmentationCode0
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery VideosCode0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture SearchCode0
LeMoRe: Learn More Details for Lightweight Semantic SegmentationCode0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
Learn to Segment Retinal Lesions and BeyondCode0
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing ImagesCode0
ESA: Annotation-Efficient Active Learning for Semantic SegmentationCode0
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic SegmentationCode0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck ZonesCode0
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic SegmentationCode0
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningCode0
Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form ClassificationCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
Learning Unsupervised Video Object Segmentation Through Visual AttentionCode0
Learning Video Object Segmentation from Static ImagesCode0
Learning unbiased zero-shot semantic segmentation networks via transductive transferCode0
Equivariance versus Augmentation for Spherical ImagesCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
Learning to Segment via Cut-and-PasteCode0
Adjusting Image Attributes of Localized Regions with Low-level DialogueCode0
Learning to simulate complex scenesCode0
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-NetCode0
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
Learning to See the Invisible: End-to-End Trainable Amodal Instance SegmentationCode0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
Learning to Refine Object SegmentsCode0
Learning to Segment Every ThingCode0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
Learning To Pay Attention To MistakesCode0
EOLO: Embedded Object Segmentation only Look OnceCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point CloudsCode0
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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