SOTAVerified

Semantic Segmentation

Papers

Showing 201250 of 14763 papers

TitleStatusHype
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency AdaptationCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image SegmentationCode2
Domain Adaptation with a Single Vision-Language EmbeddingCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
1st Place Solution for PSG competition with ECCV'22 SenseHuman WorkshopCode2
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic SegmentationCode2
EasyPortrait -- Face Parsing and Portrait Segmentation DatasetCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image SegmentationCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Does Image Anonymization Impact Computer Vision Training?Code2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance SegmentationCode2
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationCode2
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-SupervisionCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Dilated Neighborhood Attention TransformerCode2
Exploring Color Invariance through Image-Level Ensemble LearningCode2
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image SegmentationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Diffusion models as plug-and-play priorsCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature FieldsCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation ModelsCode2
FocalClick: Towards Practical Interactive Image SegmentationCode2
FreeSOLO: Learning to Segment Objects without AnnotationsCode2
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic SegmentationCode2
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic SegmentationCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision TransformerCode2
Digital Twin Generation from Visual Data: A SurveyCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
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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