SOTAVerified

Semantic Segmentation

Papers

Showing 70267050 of 14763 papers

TitleStatusHype
Depth-guided Texture Diffusion for Image Semantic Segmentation0
Depth-Guided Semi-Supervised Instance Segmentation0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks0
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models0
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization0
A multi-task U-net for segmentation with lazy labels0
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation0
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation0
Learning to segment microscopy images with lazy labels0
Depth-Adapted CNNs for RGB-D Semantic Segmentation0
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation0
Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling0
Density-Based Clustering for 3D Object Detection in Point Clouds0
Beyond Nearest Neighbor Interpolation in Data Augmentation0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation0
Dense Voxel 3D Reconstruction Using a Monocular Event Camera0
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding0
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification0
Adapting Segment Anything Model for Unseen Object Instance Segmentation0
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields0
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask0
DenseVLM: A Retrieval and Decoupled Alignment Framework for Open-Vocabulary Dense Prediction0
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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