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Semantic Segmentation

Papers

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Showing 1151–1200 of 14763 papers

TitleStatusHype
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation—0
Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic SegmentationCode0
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection—0
Detect Changes like Humans: Incorporating Semantic Priors for Improved Change DetectionCode0
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation—0
Concept Guided Co-saliency Objection Detection—0
IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible TasksCode0
A Unifying Family of Data-Adaptive Partitioning Algorithms—0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances—0
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation—0
V"Mean"ba: Visual State Space Models only need 1 hidden dimension—0
Stochastic Model of siRNA Endosomal Escape Mediated by Fusogenic Peptides in OVCAR-3Code0
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language AlignmentCode0
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI SegmentationCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings—0
SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy dataCode0
Efficient MedSAMs: Segment Anything in Medical Images on LaptopCode7
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic SegmentationCode1
Review of Fruit Tree Image Segmentation—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Spike2Former: Efficient Spiking Transformer for High-performance Image SegmentationCode1
GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks EvaluationCode0
Pitfalls of topology-aware image segmentation—0
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers—0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration—0
RelationField: Relate Anything in Radiance FieldsCode2
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image SegmentationCode2
Split Learning in Computer Vision for Semantic Segmentation Delay Minimization—0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object SegmentationCode1
In-context learning for medical image segmentation—0
Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks—0
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing—0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance SegmentationCode1
Open-World Panoptic Segmentation—0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
Structural Pruning via Spatial-aware Information Redundancy for Semantic SegmentationCode0
Adaptive Prototype Replay for Class Incremental Semantic SegmentationCode0
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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