Pinned Repositories
convnet-burden
Memory consumption and FLOP count estimates for convnets
GeneGAN
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
ICCV17-fashionGAN
Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence
Image-Text-Embedding
Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535
ImageTextRetrieval
person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
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.
StackGAN-v2
testPython
This is a test
Zhihang-Li's Repositories
Zhihang-Li/convnet-burden
Memory consumption and FLOP count estimates for convnets
Zhihang-Li/GeneGAN
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Zhihang-Li/gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
Zhihang-Li/ICCV17-fashionGAN
Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence
Zhihang-Li/Image-Text-Embedding
Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535
Zhihang-Li/ImageTextRetrieval
Zhihang-Li/person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
Zhihang-Li/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.
Zhihang-Li/StackGAN-v2
Zhihang-Li/testPython
This is a test
Zhihang-Li/the-gan-zoo
A list of all named GANs!
Zhihang-Li/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Zhihang-Li/tutorials
机器学习相关教程
Zhihang-Li/Video-Super-Resolution
Zhihang-Li/visual-semantic-embedding
Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"
Zhihang-Li/VSE_Pytorch
Pytorch implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"