skip-connections

Here are 26 public repositories matching this topic...

braindotai / Watermark-Removal-Pytorch

🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.

deep-learning paper pytorch watermark skip-connections deep-image-priors watermark-removal artefacts-removal restoration-tasks

Updated Oct 15, 2024
Jupyter Notebook

VITA-Group / Deep_GCN_Benchmarking

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[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

benchmark dropout normalization skip-connections graph-neural-networks training-tricks deep-graph-library deep-graph-networks ogb

Updated Dec 29, 2021
Python

csdongxian / skip-connections-matter

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Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"

iclr skip-connections

Updated Nov 17, 2020
Python

seorim0 / NUNet-TLS

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Nested U-Net with two-level skip connections for speech enhancement

deep-learning pytorch unet speech-enhancement skip-connections nested-unet multi-scale-features u2net interspeech2022

Updated Dec 18, 2023
Python

atapour / temporal-depth-segmentation

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Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

semantic-segmentation multi-task-learning depth-prediction skip-connections monocular-depth-estimation temporal-convolutional-network

Updated Jul 22, 2021
Python

Brain-Tumor-Segmentation / brain-tumor-segmentation-using-deep-neural-networks

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The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net

deep-learning image-processing segmentation convolutional-neural-networks unet convolutional-neural-network skip-connections brain-tumor-segmentation unet-image-segmentation unet-keras unet-tensorflow unet-model unet-segmentation vnet2d sobel-operator wnet resblock sobel-edge-detection vnet-segmentation

Updated Oct 11, 2021
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Moddy2024 / Bird-Classification

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ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

classification image-classification convolutional-neural-networks bird-species bird-species-classification resnet-34 skip-connections sagemaker-pytorch bird-classification

Updated Mar 3, 2023
Jupyter Notebook

ap229997 / Variants_of_U-net

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Implementations of different variations of U-net - adding deconv layers, dense net variant and including skip connections

densenet u-net skip-connections deconv-layers

Updated Oct 31, 2017
Python

Abd-AlrahmanBadr / SingleImageSuperResolution

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Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.

computer-vision deep-learning tensorflow optimization numpy keras image-processing generative-adversarial-network gan pattern-recognition matplotlib super-resolution vgg19 graduation-project sisr skimage residual-blocks skip-connections

Updated Jun 20, 2019
Python

DebeshJha / MDNet

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Abdominal Organ Segmentation using Multi Decoder Network (MDNet) [Accepted at ICASSP 2025]

attention-mechanism interpretability encoder-decoder-model resnet50 medical-image-segmentation skip-connections interpretable-machine-learning polyp-segmentation real-time-polyp-segmentation

Updated Jan 1, 2025
Python

juhyeonkim95 / NovelViewSynthesis

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This is the official implementation of "Novel View Synthesis with Skip Connections" (ICIP 2020)

skip-connections novel-view-synthesis

Updated Nov 20, 2020
Python

DhruvSrikanth / 2D-3D-Single-View-Reconstruction

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IEEE paper implementation of Single-View 2D-3D Reconstruction.

machine-learning computer-vision deep-learning vgg neural-networks imagenet autoencoder novel densenet resnet transfer-learning 3d 2d skip-connections 3d-skipnet ae-dense

Updated Mar 17, 2022
Python

sevdaimany / ResNet50-ChestCancer-Detection

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This project demonstrates the implementation of ResNet50 from scratch and its application for chest cancer classification using the Chest CT-scan Images dataset.

classification transfer-learning resnet-50 skip-connections

Updated Sep 1, 2023
Jupyter Notebook

ShrideviReddy / Reconstructing-Medical-Images

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Reconstructing Medical Images using Generative model.

medical-imaging autoencoder skip-connections

Updated Oct 3, 2020
Jupyter Notebook

nick-monto / Specs2text

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Replication of Jasper speech-to-text network using Intel optimized TensorFlow.

deep-neural-networks deep-learning tensorflow intel jasper speech-to-text residual-networks fully-convolutional-networks librispeech keras-api skip-connections

Updated Aug 31, 2020
Python

jagennath-hari / ResNet5M-CIFAR10

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The main goal of this project is to come up with an architecture having the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that model has no more than 5 million parameters.

python deep-learning neural-network pytorch image-classification resnet cifar-10 skip-connections