SOTAVerified

Semantic Segmentation

Papers

Showing 38513900 of 14763 papers

TitleStatusHype
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain KnowledgeCode1
Strip Pooling: Rethinking Spatial Pooling for Scene ParsingCode1
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point CloudsCode1
Generalizable Model-agnostic Semantic Segmentation via Target-specific NormalizationCode1
Using deep convolutional neural networks for neonatal brain image segmentationCode1
Learning What to Learn for Video Object SegmentationCode1
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization PerspectiveCode1
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane DetectionCode1
Scalable learning for bridging the species gap in image-based plant phenotypingCode1
Learning Dynamic Routing for Semantic SegmentationCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and DetectionCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Who2com: Collaborative Perception via Learnable Handshake CommunicationCode1
DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
Semi-Supervised Semantic Segmentation with Cross-Consistency TrainingCode1
Vox2Vox: 3D-GAN for Brain Tumour SegmentationCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Collaborative Video Object Segmentation by Foreground-Background IntegrationCode1
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in VideosCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
TACO: Trash Annotations in Context for Litter DetectionCode1
Scene Completeness-Aware Lidar Depth Completion for Driving ScenarioCode1
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic SegmentationCode1
Belief Propagation Reloaded: Learning BP-Layers for Labeling ProblemsCode1
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth CuesCode1
Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingPreserving Image ContentCode1
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography ImagesCode1
Conditional Convolutions for Instance SegmentationCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention NetworksCode1
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic ImagesCode1
Learning Video Object Segmentation from Unlabeled VideosCode1
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
On the Texture Bias for Few-Shot CNN SegmentationCode1
Dense Dilated Convolutions Merging Network for Land Cover ClassificationCode1
Motion-Attentive Transition for Zero-Shot Video Object SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural NetworksCode1
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic SegmentationCode1
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
A Learning Strategy for Contrast-agnostic MRI SegmentationCode1
SketchGNN: Semantic Sketch Segmentation with Graph Neural NetworksCode1
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive SamplingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified