EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Code is a bit messy now. I woud clean up soon.
For training the EFENet using the warping and fusion strategy proposed in our paper, run ./qsub_train_exp18.sh
For CrossNet with other warping and fusion strategies to perform reference-based video super-resolution (RefVSR), refer to other running file like "qsub_train_[id instead of 18].sh". More details would be given soon to distiguish each of those strategies.
RADN [CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment [Paper on arXiv] Overview Update [2021/5/7] add codes for W
Visualizing the Loss Landscape of Neural Nets This repository contains the PyTorch code for the paper Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer
Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grays
Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing
DeepGeneAnnotator: A tool to annotate the gene in the genome The master thesis of the "Using deep learning to predict gene structures of the coding ge
KoDALLE Utilizing pretrained language model’s token embedding layer and position embedding layer as DALLE’s text encoder. Background Training DALLE mo
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction International Conference on 3D Vision, 2020 Sai Sagar Jinka1, Rohan
Periodic Activation Functions Induce Stationarity This repository is the official implementation of the methods in the publication: L. Meronen, M. Tra
PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision @misc{CV2018,
author = {Donny You (
efficient_densenet_pytorch A PyTorch =1.0 implementation of DenseNets, optimized to save GPU memory. Recent updates Now works on PyTorch 1.0! It uses
AB-TRAP: building invisibility shields to protect network devices The AB-TRAP framework is applicable to the development of Network Intrusion Detectio
Semi-supervised Learning for Few-shot Image-to-Image Translation [paper] Abstract: In the last few years, unpaired image-to-image translation has witn
Brainstorm Discontinuation Notice Brainstorm is no longer being maintained, so we recommend using one of the many other,available frameworks, such as
Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo
Learning-Augmented Dynamic Power Management This repository contains source code accompanying paper Learning-Augmented Dynamic Power Management with M
OAK_Detection OAK设备上适配nanodet_plus,yolov5_v6.0 Environment pytorch = 1.7.0
Ribosome Synthesize photos from PhotoDNA. See the blog post for more information. Installation Dependencies You can install Python dependencies using
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Codes for [Preprint] Bag of Tricks for Training Deeper Graph
dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo
Winners of the Facebook Image Similarity Challenge
53 Dec 28, 2022
2.2k Jan 09, 2023
1 Jan 04, 2022
172 Dec 13, 2022
3 Sep 09, 2022
74 Sep 22, 2022
39 Oct 12, 2022
12 Jun 07, 2022
1.4k Dec 25, 2022
17 Jan 04, 2023
49 Nov 18, 2022
1.3k Nov 21, 2022
56 Dec 23, 2022
0 Feb 22, 2022
1 Feb 18, 2022
112 Nov 23, 2022
101 Dec 29, 2022
273 Jan 06, 2023
111 Jan 05, 2023