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Semantic Segmentation

Papers

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Showing 10851–10900 of 14763 papers

TitleStatusHype
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization—0
Level generation and style enhancement -- deep learning for game development overview—0
Level Set KSVD—0
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation—0
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation—0
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction—0
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning—0
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation—0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances—0
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
Leveraging Global Binary Masks for Structure Segmentation in Medical Images—0
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation—0
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators—0
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning—0
Leveraging Motion Priors in Videos for Improving Human Segmentation—0
Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring—0
Leveraging multiple datasets for deep leaf counting—0
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation—0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
Leveraging point annotations in segmentation learning with boundary loss—0
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation—0
Leveraging Pretrained Image Classifiers for Language-Based Segmentation—0
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation—0
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization—0
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides—0
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds—0
LiCAR: pseudo-RGB LiDAR image for CAR segmentation—0
LID 2020: The Learning from Imperfect Data Challenge Results—0
Lidar-based Norwegian tree species detection using deep learning—0
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
LiDAR Based Semantic Perception for Forklifts in Outdoor Environments—0
LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training—0
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception—0
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception—0
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network—0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation—0
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation—0
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation—0
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D—0
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation—0
Lifting GIS Maps into Strong Geometric Context for Scene Understanding—0
LiftPool: Bidirectional ConvNet Pooling—0
Lift-the-flap: what, where and when for context reasoning—0
LightFormer: A lightweight and efficient decoder for remote sensing image segmentation—0
LIGHT: Joint Individual Building Extraction and Height Estimation from Satellite Images through a Unified Multitask Learning Network—0
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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