Xin Lai's repositories
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
am3
Adaptive Cross-Modal Few-shot learning OSS code
apache-log-parser
Parses log lines from an apache log
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CaNet
The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
darknet
Convolutional Neural Networks
datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepSORT
MOT using deepsort yolo3 with C++
DeltaEncoder
This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734
FSS-1000
FSS-1000, A 1000-class Dataset For Few-shot Segmentation
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
handtracking
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
KnowledgeGraph
知识图谱数据免费下载，知识图谱，通用知识图谱，融合了两千五百多万的实体，拥有亿级别的实体属性关系。
KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
learning-to-reweight-examples
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
leo
Implementation of Meta-Learning with Latent Embedding Optimization
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
OpenKE
An Open-Source Package for Knowledge Embedding (KE)
OpenPano
OpenPano: Automatic Panorama Stitching From Scratch
Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
PSPNet
Pyramid Scene Parsing Network, CVPR2017.
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
Semantic-Segmentation
List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation
semseg
Semantic Segmentation in Pytorch
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
TADAM
The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning
tensorflow
An Open Source Machine Learning Framework for Everyone
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
vision
Datasets, Transforms and Models specific to Computer Vision