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Collections including paper arxiv:2203.00585

Papers - Image - Dino

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Paper • 2203.00585 • Published Mar 1, 2022 • 2
Emerging Properties in Self-Supervised Vision Transformers

Paper • 2104.14294 • Published Apr 29, 2021 • 3
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Paper • 2404.06903 • Published Apr 10 • 14
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 28

Papers - Image - Segmentation - Cancer

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function

Paper • 1810.09488 • Published Oct 22, 2018 • 2
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Paper • 1901.11369 • Published Jan 31, 2019 • 2

Papers - Image - Segmentation

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2
RTSeg: Real-time Semantic Segmentation Comparative Study

Paper • 1803.02758 • Published Mar 7, 2018 • 2

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 2
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

TCGA-BRCA-SSL models

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology, https://github.com/Richarizardd/Self-Supervised-ViT-Path/

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Paper • 2203.00585 • Published Mar 1, 2022 • 2
timm/resnet50.a1_in1k

Image Classification • Updated Feb 10 • 11.5M • 17
1aurent/resnet50.tcga_brca_simclr

Feature Extraction • Updated Oct 31, 2023 • 41 • 1
1aurent/vit_small_patch16_256.tcga_brca_dino

Feature Extraction • Updated Oct 31, 2023 • 48

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