SOTAVerified

Semantic Segmentation

Papers

Showing 18011850 of 14763 papers

TitleStatusHype
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
How to train your ViT? Data, Augmentation, and Regularization in Vision TransformersCode1
HPTQ: Hardware-Friendly Post Training QuantizationCode1
Extract Free Dense Labels from CLIPCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
HRFormer: High-Resolution Vision Transformer for Dense PredictCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
Amodal Intra-class Instance Segmentation: Synthetic Datasets and BenchmarkCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Multi-Scale High-Resolution Vision Transformer for Semantic SegmentationCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance SegmentationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object SegmentationCode1
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance SegmentationCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion SegmentationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Belief Propagation Reloaded: Learning BP-Layers for Labeling ProblemsCode1
Delving into the Cyclic Mechanism in Semi-supervised Video Object SegmentationCode1
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing ImageryCode1
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single ImagesCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
HyperionSolarNet: Solar Panel Detection from Aerial ImagesCode1
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image CaptioningCode1
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality RobustnessCode1
Adversarial Examples for Semantic Segmentation and Object DetectionCode1
DeiSAM: Segment Anything with Deictic PromptingCode1
Deformable Mamba for Wide Field of View SegmentationCode1
Benchmarking Self-Supervised Learning on Diverse Pathology DatasetsCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
DeiT III: Revenge of the ViTCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Deformable Convolutional NetworksCode1
Image-Text Co-Decomposition for Text-Supervised Semantic SegmentationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
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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