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Mar 13, 2024
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Collections including paper arxiv:2204.05044
Collection by
Mar 13, 2024
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Generalizability vs. Robustness: Adversarial Examples for Medical Imaging
Paper • 1804.00504 • Published • 2 -
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
Paper • 2108.11993 • Published • 2 -
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Paper • 2204.05044 • Published • 2
Collection by
Nov 10, 2024
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Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 -
RTSeg: Real-time Semantic Segmentation Comparative Study
Paper • 1803.02758 • Published • 2
Collection by
Jan 30, 2025
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Wide Residual Networks
Paper • 1605.07146 • Published • 2 -
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Paper • 2101.08692 • Published • 2 -
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
Paper • 2105.03536 • Published • 3 -
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Paper • 2106.01548 • Published • 2
Collection by
Dec 1, 2024
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Paper • 2103.14030 • Published • 5 -
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Paper • 2104.12137 • Published • 2 -
Self-Supervised Learning with Swin Transformers
Paper • 2105.04553 • Published • 3 -
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
Paper • 2108.11993 • Published • 2
Collection by
Mar 14, 2024
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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 -
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Paper • 1810.09488 • Published • 2 -
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Paper • 1901.11369 • Published • 2
Collection by
Nov 28, 2024
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 16 -
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2
Collection by
Jan 28, 2025
-
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 4 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
Collection by
Mar 13, 2024
Collection by
Dec 1, 2024
-
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Paper • 2103.14030 • Published • 5 -
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Paper • 2104.12137 • Published • 2 -
Self-Supervised Learning with Swin Transformers
Paper • 2105.04553 • Published • 3 -
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
Paper • 2108.11993 • Published • 2
Collection by
Mar 13, 2024
-
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging
Paper • 1804.00504 • Published • 2 -
Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation
Paper • 2108.11993 • Published • 2 -
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Paper • 2204.05044 • Published • 2
Collection by
Mar 14, 2024
-
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 -
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Paper • 1810.09488 • Published • 2 -
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Paper • 1901.11369 • Published • 2
Collection by
Nov 10, 2024
-
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 -
RTSeg: Real-time Semantic Segmentation Comparative Study
Paper • 1803.02758 • Published • 2
Collection by
Nov 28, 2024
-
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 16 -
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 -
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 -
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2
Collection by
Jan 30, 2025
-
Wide Residual Networks
Paper • 1605.07146 • Published • 2 -
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Paper • 2101.08692 • Published • 2 -
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
Paper • 2105.03536 • Published • 3 -
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Paper • 2106.01548 • Published • 2
Collection by
Jan 28, 2025
-
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 4 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2