SOTAVerified

Semantic Segmentation

Papers

Showing 48764900 of 14763 papers

TitleStatusHype
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationCode1
Multi-Object Discovery by Low-Dimensional Object Motion0
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
Holistic Prototype Attention Network for Few-Shot VOSCode0
Boundary-weighted logit consistency improves calibration of segmentation networks0
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point cloudsCode1
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding0
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean TeacherCode1
LEST: Large-scale LiDAR Semantic Segmentation with Transformer0
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic SegmentationCode0
HEAL-SWIN: A Vision Transformer On The SphereCode1
Challenge Results Are Not Reproducible0
A scoping review on multimodal deep learning in biomedical images and texts0
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks0
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object SegmentationCode1
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression0
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation0
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
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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