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Semantic Segmentation

Papers

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Showing 7201–7250 of 14763 papers

TitleStatusHype
Flower Categorization using Deep Convolutional Neural Networks—0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching—0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
Label-free Neural Semantic Image Synthesis—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
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
Labeling Panoramas with Spherical Hourglass Networks—0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection—0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
Label noise in segmentation networks : mitigation must deal with bias—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation—0
Label Refinement Network for Coarse-to-Fine Semantic Segmentation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation—0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
Label super-resolution networks—0
Localizing Adverts in Outdoor Scenes—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation—0
Locally Adaptive Learning Loss for Semantic Image Segmentation—0
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation—0
Deep Neural Networks and PIDE discretizations—0
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs—0
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System—0
A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search—0
Adversarial Transfer of Pose Estimation Regression—0
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic 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
Deep Neural Patchworks: Coping with Large Segmentation Tasks—0
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation—0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
Flame quality monitoring of flare stack based on deep visual features—0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation—0
Land Cover Semantic Segmentation Using ResUNet—0
ACE: Adapting to Changing Environments for Semantic Segmentation—0
Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method—0
Lane detection in complex scenes based on end-to-end neural network—0
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks—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
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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