Song Bai's repositories
Adversarial_Metric_Attack
The code of "Adversarial Metric Attack for Person Re-identification"
Sparse-Contextual-Activation
The matlab code of Sparse Contextual Activation (SCA) published in TIP 2016
afm_cvpr2019
Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)
AlignPS
Code for CVPR 2021 paper: Anchor-Free Person Search
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
beyond-part-models
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
deep-person-reid
Pytorch implementation of deep person re-identification models.
DI-2-FGSM
Improving Transferability of Adversarial Examples with Input Diversity
MVCNN-TensorFlow
An Multi-View CNN (MVCNN) implementation with TensorFlow.
oicr
Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
open-reid
Open source person re-identification library in python
Person_reID_baseline_pytorch
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
Regional-Homogeneity
Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-models
Models built with TensorFlow
tf-eval-reporter
Tensorflow "layer" that categorizes good and bad predictions into a HTML document
TF_FeatureExtraction
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.