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Semantic Segmentation

Papers

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Showing 2801–2850 of 14763 papers

TitleStatusHype
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection—0
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
Efficient Transformer Encoders for Mask2Former-style modelsCode0
PM-VIS: High-Performance Box-Supervised Video Instance Segmentation—0
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation NetworksCode1
Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic SurgeryCode1
360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos—0
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object SegmentationCode2
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation—0
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence ImagesCode0
A Complete System for Automated 3D Semantic-Geometric Mapping of Corrosion in Industrial Environments—0
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing—0
Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation—0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models—0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving—0
Augmented Object Intelligence with XR-ObjectsCode2
BACS: Background Aware Continual Semantic SegmentationCode0
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders—0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images—0
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers—0
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space ModelCode2
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture—0
ESC: Evolutionary Stitched Camera Calibration in the Wild—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—0
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models—0
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation—0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds—0
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation—0
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation—0
How to Benchmark Vision Foundation Models for Semantic Segmentation?Code1
Moving Object Segmentation: All You Need Is SAM (and Flow)Code3
Deep Gaussian mixture model for unsupervised image segmentationCode0
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-TrainingCode2
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation—0
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation ModelsCode1
A Perspective on Deep Vision Performance with Standard Image and Video Codecs—0
Group-On: Boosting One-Shot Segmentation with Supportive Query—0
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery—0
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale ApproachCode1
Boosting Medical Image Segmentation Performance with Adaptive Convolution LayerCode0
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation—0
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image MatchingCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Contextrast: Contextual Contrastive Learning for 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