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Semantic Segmentation

Papers

Showing 32513275 of 14763 papers

TitleStatusHype
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based PerceptionCode1
Local Intensity Order Transformation for Robust Curvilinear Object SegmentationCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object SegmentationCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
Lightweight and Progressively-Scalable Networks for Semantic SegmentationCode1
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionCode1
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic SegmentationCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic SegmentationCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing FlowsCode1
Deep learning approach to left ventricular non-compaction measurementCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
Hyper-Convolution Networks for Biomedical Image SegmentationCode1
Rethinking Atrous Convolution for Semantic Image SegmentationCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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