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Semantic Segmentation

Papers

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Showing 13051–13100 of 14763 papers

TitleStatusHype
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks—0
Partial Convolution based PaddingCode0
Phase Collaborative Network for Two-Phase Medical Image Segmentation—0
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image—0
Future Segmentation Using 3D Structure—0
A Generative Appearance Model for End-to-end Video Object SegmentationCode0
Image Labeling with Markov Random Fields and Conditional Random Fields—0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Affinity Derivation and Graph Merge for Instance SegmentationCode0
Generating Attention from Classifier Activations for Fine-grained Recognition—0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss—0
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic SegmentationCode0
ShelfNet for Fast Semantic SegmentationCode0
Universal Semi-Supervised Semantic SegmentationCode0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
City-Scale Road Audit System using Deep LearningCode0
GANtruth - an unpaired image-to-image translation method for driving scenarios—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
Background Subtraction with Real-time Semantic Segmentation—0
Joint Facade Registration and Segmentation for Urban Localization—0
Non-local RoI for Cross-Object Perception—0
Generate, Segment and Refine: Towards Generic Manipulation SegmentationCode0
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation—0
Rethinking ImageNet Pre-training—0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models—0
Chan-Vese Reformulation for Selective Image Segmentation—0
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays—0
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision—0
CGNet: A Light-weight Context Guided Network for Semantic SegmentationCode0
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery—0
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree ImagesCode0
Recurrent Iterative Gating Networks for Semantic Segmentation—0
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks—0
Slum Segmentation and Change Detection : A Deep Learning ApproachCode0
OrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery—0
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent SamplingCode0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency—0
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks—0
PointConv: Deep Convolutional Networks on 3D Point CloudsCode0
Composite Binary Decomposition Networks—0
Generating a Training Dataset for Land Cover Classification to Advance Global Development—0
Unsupervised domain adaptation for medical imaging segmentation with self-ensemblingCode0
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNNCode0
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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