Supervised Discrete Hashing

REQUIREMENTS

pip install -r requirements.txt

1. pytorch >= 1.0
2. loguru

DATASETS

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

USAGE

usage: run.py [-h] [--dataset DATASET] [--root ROOT]
              [--code-length CODE_LENGTH] [--max-iter MAX_ITER]
              [--num-anchor NUM_ANCHOR] [--num-train NUM_TRAIN]
              [--num-query NUM_QUERY] [--topk TOPK] [--gpu GPU] [--seed SEED]
              [--evaluate-interval EVALUATE_INTERVAL] [--lamda LAMDA]
              [--nu NU] [--sigma SIGMA]

SDH_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:
                        12,16,24,32,48,64,128)
  --max-iter MAX_ITER   Number of iterations.(default: 5)
  --num-anchor NUM_ANCHOR
                        Number of anchor.(default: 1000)
  --topk TOPK           Calculate map of top k.(default: all)
  --gpu GPU             Using gpu.(default: False)
  --seed SEED           Random seed.(default: 3367)
  --evaluate-interval EVALUATE_INTERVAL
                        Evaluation interval.(default: 1)
  --lamda LAMDA         Hyper-parameter.(default: 1)
  --nu NU               Hyper-parameter.(default: 1e-5)
  --sigma SIGMA         Hyper-parameter. 2e-3 for cifar-10-gist, 5e-4 for
                        others.

EXPERIMENTS

cifar-10-gist: GIST features, 1000 query images, 5000 training images, sigma=2e-3, map@ALL.

cifar-10-alexnet. Alexnet features, 1000 query images, 5000 training images, sigma=5e-4, map@ALL.

nus-wide-tc21-alexnet. Alexnet features, top 21 classes, 2100 query images, 10500 training images, sigma=5e-4, map@5000.

imagenet-tc100-alexnet: Alexnet features, top 100 classes, 5000 query images, 10000 training images, sigma=5e-4, map@1000.

bits	12	16	24	32	48	64	128
cifar-10-gist@ALL	0.3964	0.4335	0.4357	0.4611	0.4729	0.4826	0.4973
cifar-10-alexnet@ALL	0.4966	0.4837	0.5209	0.5373	0.5411	0.5629	0.5750
nus-wide-tc21-alexnet@5000	0.7504	0.7684	0.7745	0.7932	0.7912	0.8035	0.8162
imagenet-tc100-alexnet@1000	0.3529	0.4166	0.4790	0.5096	0.5429	0.5586	0.5974