skip-connections

VITA-Group/Deep_GCN_Benchmarking

[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

csdongxian/skip-connections-matter

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

seorim0/NUNet-TLS

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

atapour/temporal-depth-segmentation

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).

ap229997/Variants_of_U-net

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

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

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

Abd-AlrahmanBadr/SingleImageSuperResolution

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

Moddy2024/Bird-Classification

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

juhyeonkim95/NovelViewSynthesis

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

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

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

sevdaimany/ResNet50-ChestCancer-Detection

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

ShrideviReddy/Reconstructing-Medical-Images

Reconstructing Medical Images using Generative model.

jagennath-hari/ResNet5M-CIFAR10

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.

nick-monto/Specs2text

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

VCL3D/HybridSkip

Code accompanying the paper: "Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture"

ArkaSarkar19/SIGNS-Image-Classification-using-ResNets

Refer Readme.md

jaydeepthik/semantic-segmentation-with-IoU-metric-and-DICE-coffecient

road and traffic segmentation with IoU metric and DICE coffecient

polarbeargo/RoboND-DeepLearning-Project

RoboND Term 1 Deep Learning Project, Follow-Me

mosama1994/YOLO-v3-Object-Detection-CNN

Implementation of Yolo v3 object detection fully convolutional neural network model in Tensorflow & Keras

y656/Implementation-of-ResNet-algorithm-from-He-et-al.-2015-research-paper

This repository contains the implementation of famous ResNet50 which is state of art technique for image classification

DhruvSrikanth/Model-Pipelines

Model Pipelines for GNNs, VAEs, Neural Style Transfer, and other kinds of models!

lafith/Hybrid-Skip-Connection

PyTorch Implementation of Hybrid Skip Connection for UNet

sandeeppaulraj/CarND-Semantic-Segmentation