SOTAVerified

Semantic Segmentation

Papers

Showing 13011350 of 14763 papers

TitleStatusHype
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D MeshesCode1
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learningCode1
CateNorm: Categorical Normalization for Robust Medical Image SegmentationCode1
Aerial Imagery Pixel-level SegmentationCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal ImagesCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial ImagesCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
DropLoss for Long-Tail Instance SegmentationCode1
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
CC-Net: Image Complexity Guided Network Compression for Biomedical Image SegmentationCode1
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye ViewCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
DroTrack: High-speed Drone-based Object Tracking Under UncertaintyCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
DPT: Deformable Patch-based Transformer for Visual RecognitionCode1
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learningCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionCode1
A Simple and Powerful Global Optimization for Unsupervised Video Object SegmentationCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image BinarizationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
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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