SOTAVerified

Semantic Segmentation

Papers

Showing 12511300 of 14763 papers

TitleStatusHype
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and ResolutionCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
Deep clustering: Discriminative embeddings for segmentation and separationCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
A Close Look at Spatial Modeling: From Attention to ConvolutionCode1
Decoupling Zero-Shot Semantic SegmentationCode1
Prototype-based Incremental Few-Shot Semantic SegmentationCode1
3D Indoor Instance Segmentation in an Open-WorldCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
Decoupling Common and Unique Representations for Multimodal Self-supervised LearningCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
Asymmetric Patch Sampling for Contrastive LearningCode1
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
Deep Active Learning for Axon-Myelin Segmentation on Histology DataCode1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny ObjectsCode1
Dense Unsupervised Learning for Video SegmentationCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
DEAL: Difficulty-aware Active Learning for Semantic SegmentationCode1
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
Decomposing 3D Scenes into Objects via Unsupervised Volume SegmentationCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
DDANet: Dual Decoder Attention Network for Automatic Polyp SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian SplattingCode1
Decoupled Dynamic Filter NetworksCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
AeroReformer: Aerial Referring Transformer for UAV-based Referring Image SegmentationCode1
3D-GRES: Generalized 3D Referring Expression SegmentationCode1
Dataset Enhancement with Instance-Level AugmentationsCode1
Data-Free Quantization Through Weight Equalization and Bias CorrectionCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Decoupled Local Aggregation for Point Cloud LearningCode1
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
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
Unified Domain Adaptive Semantic SegmentationCode1
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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