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Semantic Segmentation

Papers

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Showing 8701–8725 of 14763 papers

TitleStatusHype
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
FP-PET: Large Model, Multiple Loss And Focused Practice—0
Fractal Pyramid Networks—0
Fractional Calculus In Image Processing: A Review—0
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation—0
Framework for lung CT image segmentation based on UNet++—0
FRAP analysis Measuring biophysical kinetic parameters using image analysis—0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation—0
Free Form based active contours for image segmentation and free space perception—0
Free Lunch for Co-Saliency Detection: Context Adjustment—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Freestyle Sketch-in-the-Loop Image Segmentation—0
Free Supervision From Video Games—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation—0
Frequency-domain Learning for Volumetric-based 3D Data Perception—0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering—0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation—0
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions—0
Semantic Segmentation from Limited Training Data—0
Semantic Segmentation in Learned Compressed Domain—0
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention—0
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples—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
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