sh_pytorch's Introduction

Spectral Hashing

REQUIREMENTS

pip install -r requirements.txt

pytorch >= 1.0
loguru

DATASETS

cifar10-gist.mat password: umb6
cifar-10_alexnet.t password: f1b7
nus-wide-tc21_alexnet.t password: vfeu
imagenet-tc100_alexnet.t password: 6w5i

USAGE

usage: run.py [-h] [--dataset DATASET] [--root ROOT]
              [--code-length CODE_LENGTH] [--topk TOPK] [--gpu GPU]
              [--seed SEED]

SH_PyTorch

optional arguments:
  -h, --help            show this help message and exit
  --dataset DATASET     Dataset name.
  --root ROOT           Path of dataset
  --code-length CODE_LENGTH
                        Binary hash code length.(default:
                        8,16,24,32,48,64,96,128)
  --topk TOPK           Calculate map of top k.(default: ALL)
  --gpu GPU             Using gpu.(default: False)
  --seed SEED           Random seed.(default: 3367)

EXPERIMENTS

cifar10-gist dataset. Gist features, 1000 query images, 5000 training images, MAP@ALL.

cifar-10-alexnet dataset. Alexnet features, 1000 query images, 5000 training images, MAP@ALL.

nus-wide-tc21-alexnet dataset. Alexnet features, top 21 classes, 2100 query images, 10500 training images, MAP@5000.

imagenet-tc100-alexnet dataset. Alexnet features, top 100 classes, 5000 query images, 10000 training images, MAP@1000.

Bits	8	16	24	32	48	64	96	128
cifar10-gist@ALL	0.1246	0.1303	0.1290	0.1283	0.1310	0.1286	0.1288	0.1274
cifar10-alexnet@ALL	0.1890	0.1863	0.1912	0.1892	0.2044	0.2013	0.1978	0.1960
nus-wide-tc21-alexnet@5000	0.5503	0.5615	0.5886	0.6402	0.6309	0.6350	0.6344	0.6411
imagenet-tc100-alexnet@1000	0.0961	0.2013	0.2421	0.2806	0.3235	0.3445	0.3747	0.3908

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