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Semantic Segmentation

Papers

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Showing 10576–10600 of 14763 papers

TitleStatusHype
KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
K-means segmentation based-on lab color space for embryo detection in incubated egg—0
Knowledge Adaptation for Efficient Semantic Segmentation—0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images—0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation—0
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Knowledge distillation from multi-modal to mono-modal segmentation networks—0
Knowledge Distillation in Vision Transformers: A Critical Review—0
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping—0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP—0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds—0
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation—0
Koopman-based spectral clustering of directed and time-evolving graphs—0
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation—0
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation—0
L2T-DLN: Learning to Teach with Dynamic Loss Network—0
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors—0
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks—0
Label Calibration for Semantic Segmentation Under Domain Shift—0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation—0
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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