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

[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

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

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).

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

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

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

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

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

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

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

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

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

Segmentation pipeline that uses a U-Net backbone to perform segmentation on the Cityscapes dataset. Conducted experiments to analyse the impact of the skip connections of the U-Net on the quality of the segmentation masks. These masks are also qualitatively analysed using the Intersection-over-Union (IoU) metric

road and traffic segmentation with IoU metric and DICE coffecient

Refer Readme.md

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

RoboND Term 1 Deep Learning Project, Follow-Me

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