CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

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CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

Related tags

Overview

Dataset:CIFAR-10

Module Structure

Pytorch

Conv Explain

Owner

Frederick Wang

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)

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This is code of book "Learn Deep Learning with PyTorch"

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Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

Cross Quality LFW: A database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach

[CVPR 2021] MiVOS - Scribble to Mask module

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning