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Semantic Segmentation

Papers

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Showing 12151–12200 of 14763 papers

TitleStatusHype
Fast Video Object Segmentation via Dynamic Targeting Network—0
Integral Object Mining via Online Attention AccumulationCode0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients—0
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function—0
Block Annotation: Better Image Annotation With Sub-Image Decomposition—0
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide ImagesCode0
Embodied Amodal Recognition: Learning to Move to Perceive Objects—0
Generative Adversarial Training for Weakly Supervised Cloud Matting—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
AMP: Adaptive Masked Proxies for Few-Shot SegmentationCode0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos—0
Dynamic Multi-Scale Filters for Semantic SegmentationCode0
Attention Bridging Network for Knowledge Transfer—0
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input—0
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation—0
Towards Bridging Semantic Gap to Improve Semantic Segmentation—0
Real-Time Semantic Stereo Matching—0
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images—0
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes—0
Semantic Stereo Matching With Pyramid Cost Volumes—0
Objects365: A Large-Scale, High-Quality Dataset for Object Detection—0
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations—0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot LearningCode0
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation—0
See-Through-Text Grouping for Referring Image Segmentation—0
Multi-view PointNet for 3D Scene Understanding—0
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent LabelingCode0
Towards Good Practices for Video Object Segmentation—0
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System—0
LIP: Learning Instance Propagation for Video Object Segmentation—0
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule RoutingCode0
Domain Adaptation for Semantic Segmentation with Maximum Squares LossCode0
End-to-End Deep Convolutional Active Contours for Image Segmentation—0
Salient Instance Segmentation via Subitizing and Clustering—0
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation—0
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation—0
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning—0
Distributed Iterative Gating Networks for Semantic Segmentation—0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning—0
Invisible Marker: Automatic Annotation of Segmentation Masks for Object ManipulationCode0
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images—0
Learnable Tree Filter for Structure-preserving Feature TransformCode0
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement LearningCode0
DMM-Net: Differentiable Mask-Matching Network for Video Object SegmentationCode0
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds—0
Point Attention Network for Semantic Segmentation of 3D Point Clouds—0
Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation—0
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation—0
A closer look at network resolution for efficient network design—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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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