AutoregressModel-AE_VAD_CVPR2019

This repo is the pytorch re-implemention of Latent Space Autoregression for Novelty Detection , CVPR 2019 by Davide Abati and Rita Cucchiara. The official imcompleted_pytorch code is here: official imcompleted_pytorch implementation

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
datasets		datasets
models		models
result_helpers		result_helpers
small_kits		small_kits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
bak_code.py		bak_code.py
config.py		config.py
getFrames.py		getFrames.py
gpu_men_track.py		gpu_men_track.py
modelsize_estimate.py		modelsize_estimate.py
run_AE.sh		run_AE.sh
test.py		test.py
test.py.bak		test.py.bak
test_deepSVDD.py		test_deepSVDD.py
test_trackgpu.py		test_trackgpu.py
train.py		train.py
train_deepSVDD.py		train_deepSVDD.py
train_deepSVDD_paraopt.py		train_deepSVDD_paraopt.py
utils.py		utils.py

NjuHaoZhang/AutoregressModel-AE_VAD_CVPR2019