Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
AA
Adaptive-Sentinel-Image-Captioning
Implementation of the 'Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning' by Lu et. al.
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
caffe
Caffe
xyy19920105's Repositories
xyy19920105/big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
xyy19920105/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
xyy19920105/AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
xyy19920105/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
xyy19920105/awesome-curriculum-learning
some bravo or inspiring research works on the topic of curriculum learning
xyy19920105/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
xyy19920105/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
xyy19920105/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
xyy19920105/Awesome-Pruning
A curated list of neural network pruning resources.
xyy19920105/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M
xyy19920105/curve-gcn
Official PyTorch code for Curve-GCN (CVPR 2019)
xyy19920105/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
xyy19920105/fix-match
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
xyy19920105/google-research
Google Research
xyy19920105/HRankPlus
An extension version of our CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map
xyy19920105/insightface
Face Analysis Project on MXNet
xyy19920105/InsightFace_Pytorch
Pytorch0.4.1 codes for InsightFace
xyy19920105/PFLD_68points_Pytorch
xyy19920105/PLC
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
xyy19920105/pycls
Codebase for Image Classification Research, written in PyTorch.
xyy19920105/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
xyy19920105/PyTorch-Pyramid-Feature-Attention-Network-for-Saliency-Detection
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
xyy19920105/pytorch_ema
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
xyy19920105/Scene-Text-Recognition
xyy19920105/single-positive-multi-label
Multi-Label Learning from Single Positive Labels - CVPR 2021
xyy19920105/SOLO
SOLO and SOLOv2 for instance segmentation.
xyy19920105/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
xyy19920105/Transformer_STR
PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.
xyy19920105/VGG1200-Races
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
xyy19920105/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch