SOTAVerified

Semantic Segmentation

Papers

Showing 35513600 of 14763 papers

TitleStatusHype
MegaDepth: Learning Single-View Depth Prediction from Internet PhotosCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image SegmentationCode1
Balancing Logit Variation for Long-tailed Semantic SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed ScenesCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural NetworksCode1
Learning Implicit Feature Alignment Function for Semantic SegmentationCode1
Memory-based Semantic Segmentation for Off-road Unstructured Natural EnvironmentsCode1
BARS: A Benchmark for Airport Runway SegmentationCode1
Learning Inner-Group Relations on Point CloudsCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Learning in the Frequency DomainCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencyCode1
Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound ScenesCode1
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object SegmentationCode1
Dense Unsupervised Learning for Video SegmentationCode1
Dense Siamese Network for Dense Unsupervised LearningCode1
Learning Object Bounding Boxes for 3D Instance Segmentation on Point CloudsCode1
Learning Quality-aware Dynamic Memory for Video Object SegmentationCode1
Learning Object Depth from Camera Motion and Video Object SegmentationCode1
Single Domain Generalization for LiDAR Semantic SegmentationCode1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentationCode1
Learning Open-vocabulary Semantic Segmentation Models From Natural Language SupervisionCode1
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic SegmentationCode1
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision TransformersCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object SegmentationCode1
Med-TTT: Vision Test-Time Training model for Medical Image SegmentationCode1
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic SegmentationCode1
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next FrameworkCode1
Small Object Few-shot Segmentation for Vision-based Industrial InspectionCode1
Learning Statistical Texture for Semantic SegmentationCode1
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image SegmentationCode1
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic SegmentationCode1
Deeply supervised salient object detection with short connectionsCode1
Learning the Pareto Front with HypernetworksCode1
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask RepresentationsCode1
Bridge the Points: Graph-based Few-shot Segment Anything SemanticallyCode1
Adaptive Superpixel for Active Learning in Semantic SegmentationCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
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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