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Semantic Segmentation

Papers

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Showing 201–250 of 14763 papers

TitleStatusHype
Efficient 3D Semantic Segmentation with Superpoint TransformerCode2
1st Place Solution for PSG competition with ECCV'22 SenseHuman WorkshopCode2
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt TuningCode2
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
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic SegmentationCode2
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
DreamColour: Controllable Video Colour Editing without TrainingCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance SegmentationCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and TransformerCode2
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and BenchmarkCode2
MobileOne: An Improved One millisecond Mobile BackboneCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
Efficient Video Object Segmentation via Modulated Cross-Attention MemoryCode2
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
DaCapo: a modular deep learning framework for scalable 3D image segmentationCode2
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale DatasetCode2
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic SegmentationCode2
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic SegmentationCode2
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
An Empirical Study of Remote Sensing PretrainingCode2
FastInst: A Simple Query-Based Model for Real-Time Instance SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature FieldsCode2
DI-MaskDINO: A Joint Object Detection and Instance Segmentation ModelCode2
Dilated Neighborhood Attention TransformerCode2
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
DINO in the Room: Leveraging 2D Foundation Models for 3D SegmentationCode2
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision TransformerCode2
Diffusion models as plug-and-play priorsCode2
Digital Twin Generation from Visual Data: A SurveyCode2
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified