SOTAVerified

Semantic Segmentation

Papers

Showing 24762500 of 14763 papers

TitleStatusHype
DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny ObjectsCode1
DeepSatData: Building large scale datasets of satellite images for training machine learning modelsCode1
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Deep Variational Instance SegmentationCode1
Joint Inductive and Transductive Learning for Video Object SegmentationCode1
Joint Learning of Localized Representations from Medical Images and ReportsCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
Co-segmentation Inspired Attention Module for Video-based Computer Vision TasksCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
KITTI-CARLA: a KITTI-like dataset generated by CARLA SimulatorCode1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor ScenesCode1
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete RepresentationsCode1
HoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillationCode1
How Well Do Self-Supervised Models Transfer?Code1
HSPFormer: Hierarchical Spatial Perception Transformer for Semantic SegmentationCode1
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-FreeCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
CORE: Cooperative Reconstruction for Multi-Agent PerceptionCode1
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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