SOTAVerified

Semantic Segmentation

Papers

Showing 20762100 of 14763 papers

TitleStatusHype
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMsCode0
A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders0
View-consistent Object Removal in Radiance Fields0
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation0
MedUHIP: Towards Human-In-the-Loop Medical Segmentation0
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
LAM3D: Leveraging Attention for Monocular 3D Object Detection0
Bayesian Active Learning for Semantic Segmentation0
A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection0
Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover DesignCode0
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation0
SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes0
Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation0
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic SegmentationCode2
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic ScenesCode0
Amodal Segmentation for Laparoscopic Surgery Video Instruments0
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation ModelCode0
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
Extracting Object Heights From LiDAR & Aerial Imagery0
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary SegmentationCode2
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging SegmentationCode0
A Simple Background Augmentation Method for Object Detection with Diffusion Model0
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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