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
Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.
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7 Sep 26, 2022
Learning Versatile Neural Architectures by Propagating Network Codes
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A Python Package for Convex Regression and Frontier Estimation
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This is project is the implementation of the DeepShift: Towards Multiplication-Less Neural Networks paper
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Repository to run object detection on a model trained on an autonomous driving dataset.
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CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
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Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.
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To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.
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2 Jan 05, 2022
[ICCV 2021 Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
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NeuralForecast is a Python library for time series forecasting with deep learning models
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Neural network-based build time estimation for additive manufacturing
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[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
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This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
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Datasets and source code for our paper Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
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