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Semantic Segmentation

Papers

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Showing 3851–3900 of 14763 papers

TitleStatusHype
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence GenerationCode0
SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation—0
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation—0
Learning Part Segmentation from Synthetic Animals—0
FoundPose: Unseen Object Pose Estimation with Foundation Features—0
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
Exploiting Diffusion Prior for Generalizable Dense PredictionCode1
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data—0
Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation—0
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological ImagesCode0
ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction—0
Do text-free diffusion models learn discriminative visual representations?Code1
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object SegmentationCode1
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image SegmentationCode6
Continual Learning for Image Segmentation with Dynamic QueryCode1
A Simple Recipe for Language-guided Domain Generalized SegmentationCode1
Focus on Query: Adversarial Mining Transformer for Few-Shot SegmentationCode1
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic SegmentationCode0
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric dataCode0
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic SegmentationCode0
TransNeXt: Robust Foveal Visual Perception for Vision TransformersCode2
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language ModelsCode1
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
Image segmentation with traveling waves in an exactly solvable recurrent neural network—0
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention—0
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language GuidanceCode1
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI—0
Segment Every Out-of-Distribution ObjectCode1
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation—0
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image RecognitionCode3
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic SegmentationCode1
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation—0
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework—0
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person ImagesCode1
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
Spatially Covariant Image Registration with Text PromptsCode1
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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