SOTAVerified

Semantic Segmentation

Papers

Showing 55265550 of 14763 papers

TitleStatusHype
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks0
Scale-Equivariant Deep Learning for 3D DataCode0
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world ApplicationsCode1
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer0
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance0
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges0
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation0
A Closer Look at the Explainability of Contrastive Language-Image Pre-trainingCode1
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial EnvironmentsCode0
Continual Semantic Segmentation with Automatic Memory Sample Selection0
A Billion-scale Foundation Model for Remote Sensing Images0
Scale-Space Hypernetworks for Efficient Biomedical Imaging0
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices0
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
SATR: Zero-Shot Semantic Segmentation of 3D Shapes0
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionCode2
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation0
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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