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Semantic Segmentation

Papers

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Showing 7251–7300 of 14763 papers

TitleStatusHype
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths—0
Language-Assisted 3D Scene Understanding—0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
Low-light Enhancement Method Based on Attention Map Net—0
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification—0
Language-driven Grasp Detection with Mask-guided Attention—0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation—0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search—0
Language-guided Few-shot Semantic Segmentation—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Language-Mediated, Object-Centric Representation Learning—0
Adversarial Transfer of Pose Estimation Regression—0
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance—0
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation—0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation—0
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing—0
Adversarial training and dilated convolutions for brain MRI segmentation—0
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes—0
Flame quality monitoring of flare stack based on deep visual features—0
Large Batch and Patch Size Training for Medical Image Segmentation—0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation—0
ACE: Adapting to Changing Environments for Semantic Segmentation—0
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation—0
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges—0
FISHING Net: Future Inference of Semantic Heatmaps In Grids—0
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System—0
Large-scale EM Analysis of the Drosophila Antennal Lobe with Automatically Computed Synapse Point Clouds—0
Deep Semantic Segmentation for Multi-Source Localization Using Angle of Arrival Measurements—0
3D Freehand Ultrasound using Visual Inertial and Deep Inertial Odometry for Measuring Patellar Tracking—0
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation—0
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving—0
Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs—0
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation—0
Compassionately Conservative Balanced Cuts for Image Segmentation—0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures—0
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project—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
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