SOTAVerified

Semantic Segmentation

Papers

Showing 60266050 of 14763 papers

TitleStatusHype
Learning Instance Segmentation by InteractionCode0
Learning Instance Occlusion for Panoptic SegmentationCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Learning Non-Unique Segmentation with Reward-Penalty Dice LossCode0
Learning Shape Templates with Structured Implicit FunctionsCode0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
Learning from Pattern Completion: Self-supervised Controllable GenerationCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
CBNet: A Novel Composite Backbone Network Architecture for Object DetectionCode0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot SegmentationCode0
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic SegmentationCode0
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video StreamsCode0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant SpaceCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
Learning Free-Form Deformations for 3D Object ReconstructionCode0
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation TaskCode0
Learning Dilation Factors for Semantic Segmentation of Street ScenesCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Learning Deconvolution Network for Semantic SegmentationCode0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified