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Semantic Segmentation

Papers

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Showing 10351–10400 of 14763 papers

TitleStatusHype
Recent Advances of Generic Object Detection with Deep Learning: A Review—0
Recent progress in semantic image segmentation—0
JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement—0
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks—0
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks—0
RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion—0
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network—0
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation—0
ReCoRe: Regularized Contrastive Representation Learning of World Model—0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
Recurrent Fully Convolutional Networks for Video Segmentation—0
Recurrent Instance Segmentation—0
Recurrent Instance Segmentation using Sequences of Referring Expressions—0
Recurrent Iterative Gating Networks for Semantic Segmentation—0
Recurrent Segmentation for Variable Computational Budgets—0
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations—0
Recursive Training for Zero-Shot Semantic Segmentation—0
Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing—0
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering—0
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement—0
RED: A ReRAM-based Deconvolution Accelerator—0
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones—0
Re-designing cities with conditional adversarial networks—0
Redesigning Out-of-Distribution Detection on 3D Medical Images—0
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving—0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation—0
Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications—0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations—0
Reducing Textural Bias Improves Robustness of Deep Segmentation Models—0
Reducing the Annotation Effort for Video Object Segmentation Datasets—0
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks—0
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization—0
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs—0
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations—0
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation—0
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos—0
Referring Image Editing: Object-level Image Editing via Referring Expressions—0
Referring Image Segmentation by Generative Adversarial Learning—0
Referring Remote Sensing Image Segmentation via Bidirectional Alignment Guided Joint Prediction—0
Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation—0
Refer to Anything with Vision-Language Prompts—0
REFINE: Prediction Fusion Network for Panoptic Segmentation—0
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation—0
Reflection Invariance Learning for Few-shot Semantic Segmentation—0
Reflection methods for user-friendly submodular optimization—0
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation—0
Regional Interactive Image Segmentation Networks—0
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning—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