Huasong Zhong's repositories
caffe_tools
include removing batch normalize layer, calculate FLOPS and Parameters.
caffe_remove_bn
caffe merge batch normalization layer into convolution or innerproduct layer
bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
ClassyVision
An end-to-end PyTorch framework for image and video classification
crnn.caffe
crnn.caffe
DeepVideoAnalytics
A distributed visual search and visual data analytics platform.
On-Mitigating-Hard-Clusters
Official implementation for "On Mitigating Hard Clusters for Face Clustering" (ECCV 2022 oral).
PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
POPE
The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
pytorch2caffe
Convert PyTorch model to Caffemodel
quantized-cnn
An efficient framework for convolutional neural networks
quantized_distillation
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
ShuffleNet
This is a fast caffe implementation of ShuffleNet.
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
tensorpack
A Neural Net Training Interface on TensorFlow
vimrc-template
This is my vimrc for vim.
vqa-winner-cvprw-2017
Pytorch Implementation of winner from VQA Chllange Workshop in CVPR'17