SOTAVerified

Semantic Segmentation

Papers

Showing 13011325 of 14763 papers

TitleStatusHype
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Causal Unsupervised Semantic SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Do text-free diffusion models learn discriminative visual representations?Code1
Doubly Deformable Aggregation of Covariance Matrices for Few-shot SegmentationCode1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
DroTrack: High-speed Drone-based Object Tracking Under UncertaintyCode1
Aerial Imagery Pixel-level SegmentationCode1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
AerialFormer: Multi-resolution Transformer for Aerial Image SegmentationCode1
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
Domain-Rectifying Adapter for Cross-Domain Few-Shot SegmentationCode1
Dual Prototype Attention for Unsupervised Video Object SegmentationCode1
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object MixingCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local RefinementCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention NetworksCode1
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler AnnotationsCode1
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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