SOTAVerified

Semantic Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7326–7350 of 14763 papers

TitleStatusHype
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis—0
Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds—0
Know "No'' Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP—0
Deep learning with RGB and thermal images onboard a drone for monitoring operations—0
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping—0
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI—0
Knowledge Distillation in Vision Transformers: A Critical Review—0
Knowledge distillation from multi-modal to mono-modal segmentation networks—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Deep Learning Training Procedure Augmentations—0
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs—0
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks—0
LeAP: Consistent multi-domain 3D labeling using Foundation Models—0
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior—0
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation—0
Actor and Action Modular Network for Text-based Video Segmentation—0
Actor-Action Semantic Segmentation with Grouping Process Models—0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation—0
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning—0
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms—0
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection—0
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability—0
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks—0
Show:102550
← PrevPage 294 of 591Next →
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