SOTAVerified

Semantic Segmentation

Papers

Showing 251300 of 14763 papers

TitleStatusHype
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
Scalable Video Object Segmentation with Identification MechanismCode2
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
MogaNet: Multi-order Gated Aggregation NetworkCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image SegmentationCode2
Feature Pyramid Networks for Object DetectionCode2
Generative Medical SegmentationCode2
IRSAM: Advancing Segment Anything Model for Infrared Small Target DetectionCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance SegmentationCode2
Efficient 3D Semantic Segmentation with Superpoint TransformerCode2
Does Image Anonymization Impact Computer Vision Training?Code2
An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point CloudsCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
Diffusion models as plug-and-play priorsCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
An Empirical Study of Remote Sensing PretrainingCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Digital Twin Generation from Visual Data: A SurveyCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous ConvolutionCode2
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask DiffusionCode2
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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