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Semantic Segmentation

Papers

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Showing 9001–9050 of 14763 papers

TitleStatusHype
Transframer: Arbitrary Frame Prediction with Generative Models—0
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks—0
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers—0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation—0
MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation—0
Transitive Distance Clustering with K-Means Duality—0
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model—0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes—0
Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction—0
Multi-Task Neural Processes—0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS—0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery—0
Multi-Task Learning with Knowledge Distillation for Dense Prediction—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
WegFormer: Transformers for Weakly Supervised Semantic Segmentation—0
Reducing the Model Variance of a Rectal Cancer Segmentation Network—0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head—0
Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation—0
Multi-Task Learning in Histo-pathology for Widely Generalizable Model—0
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling—0
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator—0
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris—0
WeightAlign: Normalizing Activations by Weight Alignment—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation—0
Tree-Cut for Probabilistic Image Segmentation—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Tree Instance Segmentation With Temporal Contour Graph—0
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data—0
Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning—0
TreeNet: A lightweight One-Shot Aggregation Convolutional Network—0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation—0
Tree semantic segmentation from aerial image time series—0
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning—0
Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection—0
TrickVOS: A Bag of Tricks for Video Object Segmentation—0
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors—0
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model—0
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation—0
Trilateral Attention Network for Real-time Medical Image Segmentation—0
Trinity: A No-Code AI platform for complex spatial datasets—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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