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. 
This repository contains PyTorch models for SpecTr (Spectral Transformer).
Overview
FACIAL: Synthesizing Dynamic Talking Face With Implicit Attribute Learning. ICCV, 2021.
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning PyTorch implementation for the paper: FACIAL: Synthesizing Dynamic Talking
226 Jan 08, 2023
The official code of "SCROLLS: Standardized CompaRison Over Long Language Sequences".
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TUPÃ was developed to analyze electric field properties in molecular simulations
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Sound Source Localization for AI Grand Challenge 2021
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Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
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Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process
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This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
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268 Jan 09, 2023
Make Watson Assistant send messages to your Discord Server
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QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
QueryInst is a simple and effective query based instance segmentation method driven by parallel supervision on dynamic mask heads, which outperforms previous arts in terms of both accuracy and speed.
386 Jan 08, 2023
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and t
305 Dec 16, 2022
A Traffic Sign Recognition Project which can help the driver recognise the signs via text as well as audio. Can be used at Night also.
Traffic-Sign-Recognition In this report, we propose a Convolutional Neural Network(CNN) for traffic sign classification that achieves outstanding perf
64 Nov 19, 2022
Trying to understand alias-free-gan.
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12 Mar 17, 2022
Official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
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An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners
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Simple streamlit app to demonstrate HERE Tour Planning
Table of Contents About the Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Acknowledgements About Th
8 Sep 05, 2022
For auto aligning, cropping, and scaling HR and LR images for training image based neural networks
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Canonical Appearance Transformations
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Data manipulation and transformation for audio signal processing, powered by PyTorch
torchaudio: an audio library for PyTorch The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the
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This is the latest version of the PULP SDK
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Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification
This repo holds the codes of our paper: Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification, which is ac
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