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Semantic Segmentation

Papers

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Showing 11251–11300 of 14763 papers

TitleStatusHype
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation—0
Tensor Low-Rank Reconstruction for Semantic Segmentation—0
TESA: Tensor Element Self-Attention via Matricization—0
Testing the Segment Anything Model on radiology data—0
TeST: Test-time Self-Training under Distribution Shift—0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates—0
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts—0
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation—0
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation—0
Test-time Batch Statistics Calibration for Covariate Shift—0
Test-Time Modality Generalization for Medical Image Segmentation—0
Test-Time Training for Deformable Multi-Scale Image Registration—0
Text2Layer: Layered Image Generation using Latent Diffusion Model—0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation—0
Text Change Detection in Multilingual Documents Using Image Comparison—0
TextDiffSeg: Text-guided Latent Diffusion Model for 3d Medical Images Segmentation—0
Text-guided multi-stage cross-perception network for medical image segmentation—0
TextMountain: Accurate Scene Text Detection via Instance Segmentation—0
TextScanner: Reading Characters in Order for Robust Scene Text Recognition—0
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter—0
Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions—0
Textured As-Is BIM via GIS-informed Point Cloud Segmentation—0
Texture Fuzzy Segmentation using Skew Divergence Adaptive Affinity Functions—0
Texture Object Segmentation Based on Affine Invariant Texture Detection—0
TextureSAM: Towards a Texture Aware Foundation Model for Segmentation—0
Texture Underfitting for Domain Adaptation—0
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types—0
TFLMS: Large Model Support in TensorFlow by Graph Rewriting—0
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation—0
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction—0
TFormer: A Transmission-Friendly ViT Model for IoT Devices—0
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model—0
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation—0
The 2017 DAVIS Challenge on Video Object Segmentation—0
The 2018 DAVIS Challenge on Video Object Segmentation—0
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation—0
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge—0
The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation—0
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024—0
The algorithm of formation of a training set for an artificial neural network for image segmentation—0
The ALOS Dataset for Advert Localization in Outdoor Scenes—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences—0
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation—0
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation—0
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention—0
The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network—0
The CASE Dataset of Candidate Spaces for Advert Implantation—0
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation—0
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment—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