[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

OpenMMLab Image Classification Toolbox and Benchmark

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/F…

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

从网上收集来的免费v2ray节点

Image restoration with neural networks but without learning.

code for our MM2019 paper “Cross-Modal Image-Text Retrieval with Semantic Consistency”

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

Latex 中英文模板合集 第二部分

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

implement n2nmn with pytorch

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Strong baseline for visual question answering

上海交通大学 XeLaTeX 学位论文模板 A XeLaTeX template for Shanghai Jiao Tong University (SJTU) thesis.

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Prepare MRI inputs for training using multiscale CNN with TPMs

A TensorFlow implementation of CVPR 2018 paper Residual Dense Network for Image Super-Resolution.

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