Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
Digit: MNIST, SVHN, USPS
Object: Office, Office-Home, VisDA-2017
Code of ViT is largely borrowed from ViT-pytorch
Citation:
@article{yang2021tvt,
title={TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation},
author={Yang, Jinyu and Liu, Jingjing and Xu, Ning and Huang, Junzhou},
journal={arXiv preprint arXiv:2108.05988},
year={2021}
}
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields [project page][paper][cite] Geometry-Consistent Neural Shape Represe
We will first introduce the how to run the IPython notebook demo by downloading our pretrained models. Then, we will introduce how to run our training and evaluation code.
mipnerf_pl Unofficial pytorch-lightning implement of Mip-NeRF, Here are some results generated by this repository (pre-trained models are provided bel
IHaskell You can now try IHaskell directly in your browser at CoCalc or mybinder.org. Alternatively, watch a talk and demo showing off IHaskell featur
AirLoop This repo contains the source code for paper: Dasong Gao, Chen Wang, Sebastian Scherer. "AirLoop: Lifelong Loop Closure Detection." arXiv prep
Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSUMPTION This is the official repository of IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSU
VID-Fusion VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation Authors: Ziming Ding , Tiankai Yang, Kunyi Zhan
TorchSemiSeg [CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision by Xiaokang Chen1, Yuhui Yuan2, Gang Zeng1, Jingdong Wang
OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So
Note: This package is for use with GPFlow 1. For Bayesian optimization using GPFlow 2 please see Trieste, a joint effort with Secondmind. GPflowOpt GP
AlexNet training on ImageNet LSVRC 2012 This repository contains an implementation of AlexNet convolutional neural network and its training and testin
AITM TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequen
Paddle implementation of Dynamic Multi-scale filters for Semantic Segmentation.
NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,
Image Classification Using Deep Learning Learning and Building Convolutional Neural Networks using PyTorch. Models, selected are based on number of ci
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization This code implements the g
VAE with Volume-Preserving Flows This is a PyTorch implementation of two volume-preserving flows as described in the following papers: Tomczak, J. M.,
Visual Clustering Clustering is a popular approach to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a data
Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart
100 Dec 19, 2022
20 Dec 06, 2022
159 Dec 23, 2022
2.4k Dec 29, 2022
53 Jan 03, 2023
57 Jan 01, 2023
14 Dec 15, 2022
86 Nov 18, 2022
387 Jan 08, 2023
64 Jan 07, 2023
257 Dec 26, 2022
161 Nov 25, 2022
78 Nov 29, 2022
2 Nov 01, 2021
520 Dec 30, 2022
126 Dec 22, 2022
151 Dec 25, 2022
87 Dec 26, 2022
24 Nov 11, 2022
36 Dec 19, 2022