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Semantic Segmentation

Papers

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Showing 7551–7600 of 14763 papers

TitleStatusHype
Scene-Generalizable Interactive Segmentation of Radiance Fields—0
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision—0
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network—0
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors—0
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation—0
SegMatch: A semi-supervised learning method for surgical instrument segmentation—0
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation—0
All-pairs Consistency Learning for Weakly Supervised Semantic SegmentationCode0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges—0
Exploring Transformers for Open-world Instance Segmentation—0
AquaSAM: Underwater Image Foreground SegmentationCode0
Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning—0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Prototype Learning for Out-of-Distribution Polyp SegmentationCode0
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model—0
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers—0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU—0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels—0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation—0
Redesigning Out-of-Distribution Detection on 3D Medical Images—0
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network—0
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNetCode0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation—0
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge DistillationCode0
Learning Referring Video Object Segmentation from Weak Annotation—0
Deep Semantic Model Fusion for Ancient Agricultural Terrace DetectionCode0
Synthetic outlier generation for anomaly detection in autonomous driving—0
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint PredictionCode0
Frustratingly Easy Model Generalization by Dummy Risk Minimization—0
Fluid Viscosity Prediction Leveraging Computer Vision and Robot InteractionCode0
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo—0
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations—0
Dynamic Token-Pass Transformers for Semantic Segmentation—0
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation—0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation—0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection—0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
Diffusion Model for Camouflaged Object DetectionCode0
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation—0
Learning to Generate Training Datasets for Robust 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
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