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Semantic Segmentation

Papers

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Showing 5301–5350 of 14763 papers

TitleStatusHype
GeNAS: Neural Architecture Search with Better GeneralizationCode1
Masked Collaborative Contrast for Weakly Supervised Semantic SegmentationCode0
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic SegmentationCode1
SRRM: Semantic Region Relation Model for Indoor Scene RecognitionCode0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency—0
Learning to Learn Unlearned Feature for Brain Tumor Segmentation—0
Image Segmentation via Probabilistic Graph Matching—0
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal—0
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch InvarianceCode0
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning—0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation—0
Multi-Class Segmentation of Heterogeneous Areas in Biomedical and Environmental Images Based on the Assessment of Local Edge Density—0
ROI-based Deep Image Compression with Swin Transformers—0
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy—0
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping—0
Transavs: End-To-End Audio-Visual Segmentation With Transformer—0
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion FeaturesCode1
Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnCode1
Quaternion-valued Correlation Learning for Few-Shot Semantic SegmentationCode0
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
FreePoint: Unsupervised Point Cloud Instance SegmentationCode1
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation—0
Towards a Better Understanding of the Computer Vision Research Community in Africa—0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation—0
Thermal Bridges on Building RooftopsCode1
Image Segmentation For Improved Lossless Screen Content Compression—0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)—0
DMNR: Unsupervised De-noising of Point Clouds Corrupted by Airborne Particles—0
A Self-Training Framework Based on Multi-Scale Attention Fusion for Weakly Supervised Semantic SegmentationCode0
VTPNet for 3D deep learning on point cloud—0
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networksCode1
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Self-Supervised Instance Segmentation by Grasping—0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation—0
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic SegmentationCode1
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching—0
Real-time instance segmentation with polygons using an Intersection-over-Union lossCode0
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationCode0
Vision-Language Models in Remote Sensing: Current Progress and Future TrendsCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Can point cloud networks learn statistical shape models of anatomies?Code0
Controllable Light Diffusion for Portraits—0
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance SegmentationCode1
Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive FieldsCode0
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images—0
Video Object Segmentation in Panoptic Wild ScenesCode2
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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