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Semantic Segmentation

Papers

Showing 22012250 of 14763 papers

TitleStatusHype
A Strong Baseline for Generalized Few-Shot Semantic SegmentationCode1
MUSTER: A Multi-scale Transformer-based Decoder for Semantic SegmentationCode1
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature FusionCode1
Peekaboo: Text to Image Diffusion Models are Zero-Shot SegmentorsCode1
FLAIR #1: semantic segmentation and domain adaptation datasetCode1
Dual Prototype Attention for Unsupervised Video Object SegmentationCode1
Conv2Former: A Simple Transformer-Style ConvNet for Visual RecognitionCode1
ISIM: Iterative Self-Improved Model for Weakly Supervised SegmentationCode1
OCTET: Object-aware Counterfactual ExplanationsCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse ConditionsCode1
Vision Transformer with Super Token SamplingCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
Mean Shift Mask Transformer for Unseen Object Instance SegmentationCode1
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic SegmentationCode1
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item DetectionCode1
Multi-view Inverse Rendering for Large-scale Real-world Indoor ScenesCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
LVOS: A Benchmark for Long-term Video Object SegmentationCode1
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual InformationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
A Generalized Framework for Video Instance SegmentationCode1
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing ImageCode1
Backdoor Attacks for Remote Sensing Data with Wavelet TransformCode1
Robust Deep Learning for Autonomous DrivingCode1
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic SegmentationCode1
Learning from partially labeled data for multi-organ and tumor segmentationCode1
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental SegmentationCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic SegmentationCode1
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object MixingCode1
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language ModelsCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Semantic SuperPoint: A Deep Semantic DescriptorCode1
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and TrackingCode1
Object Segmentation of Cluttered Airborne LiDAR Point CloudsCode1
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasksCode1
Open-vocabulary Semantic Segmentation with Frozen Vision-Language ModelsCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic SegmentationCode1
RGB-T Semantic Segmentation with Location, Activation, and SharpeningCode1
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentationCode1
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and BenchmarksCode1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled DataCode1
BARS: A Benchmark for Airport Runway SegmentationCode1
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation TrackCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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