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Semantic Segmentation

Papers

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Showing 3701–3750 of 14763 papers

TitleStatusHype
AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace PlatformCode1
SAI3D: Segment Any Instance in 3D Scenes—0
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask GuidanceCode1
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything ModelCode0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation—0
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s—0
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningCode1
All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT Images—0
Transformers in Unsupervised Structure-from-MotionCode1
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey—0
SeiT++: Masked Token Modeling Improves Storage-efficient TrainingCode1
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
Point Transformer V3: Simpler, Faster, StrongerCode3
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model—0
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place RecognitionCode0
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis—0
Hierarchical Graph Pattern Understanding for Zero-Shot VOSCode0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation—0
WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather—0
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation—0
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
LIME: Localized Image Editing via Attention Regularization in Diffusion Models—0
ReCoRe: Regularized Contrastive Representation Learning of World Model—0
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models—0
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Progressive Feature Self-reinforcement for Weakly Supervised Semantic SegmentationCode1
Reliability in Semantic Segmentation: Can We Use Synthetic Data?Code1
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous ModalitiesCode1
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation—0
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking—0
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework—0
SAM-guided Graph Cut for 3D Instance Segmentation—0
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation—0
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments—0
Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression—0
Automated Behavioral Analysis Using Instance SegmentationCode0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor—0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation—0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
Interfacing Foundation Models' EmbeddingsCode1
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation—0
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge TransferCode0
MaxQ: Multi-Axis Query for N:M Sparsity NetworkCode1
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples—0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation—0
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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