SOTAVerified

Semantic Segmentation

Papers

Showing 60516100 of 14763 papers

TitleStatusHype
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image SynthesisCode0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
CBNet: A Novel Composite Backbone Network Architecture for Object DetectionCode0
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video StreamsCode0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant SpaceCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
Learning Multimodal Volumetric Features for Large-Scale Neuron TracingCode0
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
Learning Instance Segmentation by InteractionCode0
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation TaskCode0
Learning Instance Occlusion for Panoptic SegmentationCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic SegmentationCode0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
Emergence of Object Segmentation in Perturbed Generative ModelsCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Learning to Refine Object SegmentsCode0
HeMIS: Hetero-Modal Image SegmentationCode0
Motion-based Object Segmentation based on Dense RGB-D Scene FlowCode0
Learning Correspondence from the Cycle-Consistency of TimeCode0
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited SamplesCode0
EmbedMask: Embedding Coupling for One-stage Instance SegmentationCode0
CATS v2: Hybrid encoders for robust medical segmentationCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Learning Deconvolution Network for Semantic SegmentationCode0
Learning a Spatio-Temporal Embedding for Video Instance SegmentationCode0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation ModelsCode0
Learning Attraction Field Representation for Robust Line Segment DetectionCode0
Learning Across Tasks and DomainsCode0
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural NetworksCode0
Learning a Discriminative Feature Network for Semantic SegmentationCode0
Elliptical AttentionCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Learning Aerial Image Segmentation from Online MapsCode0
Category Feature Transformer for Semantic SegmentationCode0
HICH Image/Text (HICH-IT): Comprehensive Text and Image Datasets for Hypertensive Intracerebral Hemorrhage ResearchCode0
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial ImagesCode0
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic SegmentationCode0
Learnable Tree Filter for Structure-preserving Feature TransformCode0
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable AttentionCode0
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDACode0
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D ImagesCode0
Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention NetworkCode0
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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