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Semantic Segmentation

Papers

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Showing 7601–7650 of 14763 papers

TitleStatusHype
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis—0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
Boosting Video Object Segmentation based on Scale InconsistencyCode0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification—0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Design equivariant neural networks for 3D point cloud—0
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural NetworksCode0
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation—0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being—0
Where in the World is this Image? Transformer-based Geo-localization in the WildCode1
Segmentation of kidney stones in endoscopic video feeds—0
Two Decades of Colorization and Decolorization for Images and Videos—0
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation—0
Representation Recycling for Streaming Video AnalysisCode0
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and AlgorithmsCode2
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation—0
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network—0
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation—0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation—0
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Understanding The Robustness in Vision TransformersCode2
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with SuperpixelsCode1
AccMPEG: Optimizing Video Encoding for Video Analytics—0
Instance-Specific Feature Propagation for Referring Segmentation—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferCode1
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
PointInst3D: Segmenting 3D Instances by Points—0
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering TransformersCode1
Masked Image Modeling Advances 3D Medical Image Analysis—0
2D LiDAR and Camera Fusion Using Motion Cues for Indoor Layout EstimationCode0
Federated Contrastive Learning for Volumetric Medical Image Segmentation—0
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants—0
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation—0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation—0
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod—0
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement—0
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation—0
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging—0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel ImagesCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot SegmentationCode1
DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation—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