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go2star's Projects

cabbage icon cabbage

Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

caffe icon caffe

Self-brewed Caffe: add batch normalization (BN) and multiple GPUs parallel computation.

caffe-model icon caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dfl-cnn icon dfl-cnn

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

disentanglement_lib icon disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

finegan icon finegan

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

long-tailed-recognition.pytorch icon long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

mot_neural_solver icon mot_neural_solver

Official PyTorch implementation of "Learning a Neural Solver for Multple Object Tracking" paper.

multiple-object-forecasting icon multiple-object-forecasting

Repo for the paper 'Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments'. WACV 2020

pwc icon pwc

Papers with code. Sorted by stars. Updated weekly.

pyramidnet icon pyramidnet

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

transferlearning icon transferlearning

Resources and codes about transfer learning and domain adaptation--迁移学习

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