SOTAVerified

Semantic Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9676–9700 of 14763 papers

TitleStatusHype
OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images—0
OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving—0
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation—0
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
OmniVec: Learning robust representations with cross modal sharing—0
On Certified Generalization in Structured Prediction—0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
On-Device Unsupervised Image Segmentation—0
On distances, paths and connections for hyperspectral image segmentation—0
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics—0
On Duality Of Multiple Target Tracking and Segmentation—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
On Efficient Variants of Segment Anything Model: A Survey—0
One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis—0
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation—0
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers—0
One-shot Localization and Segmentation of Medical Images with Foundation Models—0
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection—0
One-shot Training for Video Object Segmentation—0
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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