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Semantic Segmentation

Papers

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Showing 451–500 of 14763 papers

TitleStatusHype
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Open-Vocabulary Camouflaged Object SegmentationCode2
SpectralGPT: Spectral Remote Sensing Foundation ModelCode2
GLaMM: Pixel Grounding Large Multimodal ModelCode2
Medical Image Segmentation with Domain Adaptation: A SurveyCode2
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-SupervisionCode2
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual RecognitionCode2
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical ImagesCode2
IDRNet: Intervention-Driven Relation Network for Semantic SegmentationCode2
UniPAD: A Universal Pre-training Paradigm for Autonomous DrivingCode2
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet PerformanceCode2
EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise OptimizationCode2
RMT: Retentive Networks Meet Vision TransformersCode2
DFormer: Rethinking RGBD Representation Learning for Semantic SegmentationCode2
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto PromptingCode2
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseCode2
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance SegmentationCode2
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable DiffusionCode2
Dataset QuantizationCode2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
Tiny and Efficient Model for the Edge Detection GeneralizationCode2
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIPCode2
XMem++: Production-level Video Segmentation From Few Annotated FramesCode2
Tracking Anything in High QualityCode2
CNOS: A Strong Baseline for CAD-based Novel Object SegmentationCode2
Scale-Aware Modulation Meet TransformerCode2
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
Hierarchical Open-vocabulary Universal Image SegmentationCode2
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
MedLSAM: Localize and Segment Anything Model for 3D CT ImagesCode2
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
OpenMask3D: Open-Vocabulary 3D Instance SegmentationCode2
Efficient 3D Semantic Segmentation with Superpoint TransformerCode2
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision TransformersCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Using Unreliable Pseudo-Labels for Label-Efficient Semantic SegmentationCode2
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelCode2
Contextual Object Detection with Multimodal Large Language ModelsCode2
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorchCode2
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic CorrespondenceCode2
SAD: Segment Any RGBDCode2
Matcher: Segment Anything with One Shot Using All-Purpose Feature MatchingCode2
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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