Spectral-spatial contrastive clustering (SSCC)
Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, and Xiaobo Liu, Large-scale Hyperspectral Image Clustering Using Contrastive Learning, 1st CDCEO, CIKM 2021 Workshop
Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop
Overview
Publication describing 3 ML examples at NSLS-II and interfacing into Bluesky
Machine learning enabling high-throughput and remote operations at large-scale user facilities. Overview This repository contains the source code and
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Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022
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Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)
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MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network
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PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning
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An implementation of based on pytorch and mmcv
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A more easy-to-use implementation of KPConv based on PyTorch.
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Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
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Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"
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Code for AutoNL on ImageNet (CVPR2020)
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Iterative Normalization: Beyond Standardization towards Efficient Whitening
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Predict the latency time of the deep learning models
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small collection of functions for neural networks
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an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
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Official code for Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset
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Repository for the electrical and ICT benchmark model developed in the ERIGrid 2.0 project.
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SimplEx - Explaining Latent Representations with a Corpus of Examples
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Orthogonal Over-Parameterized Training
The inductive bias of a neural network is largely determined by the architecture and the training algorithm. To achieve good generalization, how to effectively train a neural network is of great impo
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