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Semantic Segmentation

Papers

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Showing 3901–3950 of 14763 papers

TitleStatusHype
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person ImagesCode1
Advancing Vision Transformers with Group-Mix AttentionCode1
Adapter is All You Need for Tuning Visual TasksCode2
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture—0
RFI Detection with Spiking Neural NetworksCode0
Bayesian Neural Networks for 2D MRI Segmentation—0
Text and Click inputs for unambiguous open vocabulary instance segmentationCode0
IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather—0
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models—0
OneFormer3D: One Transformer for Unified Point Cloud SegmentationCode2
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
SEGIC: Unleashing the Emergent Correspondence for In-Context SegmentationCode1
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024—0
Low Latency Instance Segmentation by Continuous Clustering for LiDAR SensorsCode1
Language-guided Few-shot Semantic Segmentation—0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent VehiclesCode1
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images—0
Unified Domain Adaptive Semantic SegmentationCode1
Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery—0
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
HoVer-UNet: Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillationCode1
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
GMISeg: General Medical Image Segmentation without Re-Training—0
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers—0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
LABELMAKER: Automatic Semantic Label Generation from RGB-D TrajectoriesCode1
Disentangling Structure and Appearance in ViT Feature Space—0
Model-aware 3D Eye Gaze from Weak and Few-shot SupervisionsCode1
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement LearningCode0
Generalized Category Discovery in Semantic SegmentationCode1
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Predicting urban tree cover from incomplete point labels and limited background information—0
GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding—0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images—0
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Open-Vocabulary Camouflaged Object SegmentationCode2
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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