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Semantic Segmentation

Papers

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Showing 7351–7375 of 14763 papers

TitleStatusHype
Accurately identifying vertebral levels in large datasets—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Deep Video Codec Control for Vision Models—0
Finger Vein Recognition by Generating Code—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation—0
Fine-tuning vision foundation model for crack segmentation in civil infrastructures—0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss—0
Comparison of lidar semantic segmentation performance on the structured SemanticKITTI and off-road RELLIS-3D datasets—0
Fine-grained Synthesis of Unrestricted Adversarial Examples—0
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks—0
Learning Affinity via Spatial Propagation Networks—0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images—0
Learning a General Model: Folding Clothing with Topological Dynamics—0
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images—0
Linguistic Query-Guided Mask Generation for Referring Image Segmentation—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation—0
Learning a sparse database for patch-based medical image segmentation—0
Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework—0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures—0
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images—0
Learning a unified label space—0
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection—0
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?—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
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