This repository contains PyTorch models for SpecTr (Spectral Transformer).

Last update: Dec 13, 2022

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Deep Learning SpecTr

Overview

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

This repository contains PyTorch models for SpecTr (Spectral Transformer).

SpecTr is a hybrid transformer backbone that can be easily applied to other hyperspectral images.

Owner

Boxiang Yun

Never stop exploring the world

GitHub Repository

Interpretable-contrastive-word-mover-s-embedding

Interpretable-contrastive-word-mover-s-embedding Paper Datasets Here is a Dropbox link to the datasets used in the paper: https://www.dropbox.com/sh/n

0 Nov 02, 2021

Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Train aug_clip against laion400m-embeddings found here: https://laion.ai/laion-400-open-dataset/ - note that this used the base ViT-B/32 CLIP model. S

55 Sep 13, 2022

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Improving Transferability of Representations via Augmentation-Aware Self-Supervision Accepted to NeurIPS 2021 TL;DR: Learning augmentation-aware infor

38 Sep 16, 2022

Learning Modified Indicator Functions for Surface Reconstruction

Learning Modified Indicator Functions for Surface Reconstruction In this work, we propose a learning-based approach for implicit surface reconstructio

4 Apr 18, 2022

Implementation of "Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis"

Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis Abstract: This work targets at using a general deep lea

163 Dec 14, 2022

Predicting Student Attentiveness using OpenCV

Predicting-Student-Attentiveness-using-OpenCV The model will predict if a student is attentive or not through facial parameter received through the st

2 Aug 20, 2022

YOLOv5 + ROS2 object detection package

YOLOv5-ROS YOLOv5 + ROS2 object detection package This program changes the input of detect.py (ultralytics/yolov5) to sensor_msgs/Image of ROS2. Requi

23 Dec 19, 2022

2021 National Underwater Robotics Vision Optics

2021-National-Underwater-Robotics-Vision-Optics 2021年全国水下机器人算法大赛-光学赛道-B榜精度第18名 (Kilian_Di的团队：A榜[email pro

9 Nov 04, 2022

This is an example of a reproducible modelling project

An example of a reproducible modelling project What are we doing? This example was created for the 2021 fall lecture series of Stanford's Center for O

2 Oct 26, 2021

pip install python-office

🍬 python for office 👉 http://www.python4office.cn/ 👈 🌎 English Documentation 📚 简介 Python-office 是一个 Python 自动化办公第三方库，能解决大部分自动化办公的问题。而且每个功能只需一行代码，

272 Dec 29, 2022

Code repo for "Transformer on a Diet" paper

Transformer on a Diet Reference: C Wang, Z Ye, A Zhang, Z Zhang, A Smola. "Transformer on a Diet". arXiv preprint arXiv (2020). Installation pip insta

31 Sep 26, 2021

基于AlphaPose的TensorRT加速

1. Requirements CUDA 11.1 TensorRT 7.2.2 Python 3.8.5 Cython PyTorch 1.8.1 torchvision 0.9.1 numpy 1.17.4 (numpy版本过高会出报错 this issue ) python-package s

52 Dec 06, 2022

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

SPEC: Seeing People in the Wild with an Estimated Camera [ICCV 2021] SPEC: Seeing People in the Wild with an Estimated Camera, Muhammed Kocabas, Chun-

187 Dec 26, 2022

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.

44 Nov 27, 2022

Code for project: "Learning to Minimize Remainder in Supervised Learning".

Learning to Minimize Remainder in Supervised Learning Code for project: "Learning to Minimize Remainder in Supervised Learning". Requirements and Envi

0 Jul 18, 2021

Faune proche - Retrieval of Faune-France data near a google maps location

faune_proche Récupération des données de Faune-France près d'un lieu google maps

4 Feb 15, 2022

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dea

1.2k Jan 04, 2023

This repository contains PyTorch models for SpecTr (Spectral Transformer).

Related tags

Overview

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Owner

Boxiang Yun

Interpretable-contrastive-word-mover-s-embedding

Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Learning Modified Indicator Functions for Surface Reconstruction

Implementation of "Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis"

Predicting Student Attentiveness using OpenCV

YOLOv5 + ROS2 object detection package

2021 National Underwater Robotics Vision Optics

This is an example of a reproducible modelling project

pip install python-office

Code repo for "Transformer on a Diet" paper

基于AlphaPose的TensorRT加速

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Code for project: "Learning to Minimize Remainder in Supervised Learning".

Faune proche - Retrieval of Faune-France data near a google maps location

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

Diverse Branch Block: Building a Convolution as an Inception-like Unit

Deep Sketch-guided Cartoon Video Inbetweening