Backbone

1. Alexnet

2. VGG{16}

3. ResNet{18,34,50,101,152}

4. ViT

5. Swim Transformer

6. ConvNext

Loss (Method)

Supervised

Method	Config Template	Loss Name	64bit ImageNet AlexNet (mAP@1K)
ADSH	adsh.yaml	adsh	0.645
BiHalf	bihalf-supervised.yaml	bihalf-supervised	0.684
Cross Entropy	ce.yaml	ce	0.434
CSQ	csq.yaml	csq	0.686
DFH	dfh.yaml	dfh	0.689
DPN	dpn.yaml	dpn	0.692
DPSH	dpsh.yaml	dpsh	0.599
DTSH	dtsh.yaml	dtsh	0.608
GreedyHash	greedyhash.yaml	greedyhash	0.667
HashNet	hashnet.yaml	hashnet	0.588
JMLH	jmlh.yaml	jmlh	0.664
OrthoCos(OrthoHash)	orthocos.yaml	orthocos	0.701
OrthoArc(OrthoHash)	orthoarc.yaml	orthoarc	0.698
SDH-C	sdhc.yaml	sdhc	0.639

Unsupervised

Method	Config Template	Loss Name	64bit ImageNet AlexNet (mAP@1K)
BiHalf	bihalf.yaml	bihalf	0.403
CIBHash	cibhash.yaml	cibhash	0.322
GreedyHash	greedyhash-unsupervised.yaml	greedyhash-unsupervised	0.407
SSDH	ssdh.yaml	ssdh	0.146
TBH	tbh.yaml	tbh	0.324

Shallow (Non-Deep learning methods)

Method	Config Template	Loss Name	64bit ImageNet AlexNet (mAP@1K)
IMH	imh.yaml	imh	0.467
ITQ	itq.yaml	itq	0.402
LsH	lsh.yaml	lsh	0.206
PCAHash	pca.yaml	pca	0.405
SH	sh.yaml	sh	0.350

Warning

Shallow methods only works with descriptor datasets. We will upload the descriptor datasets and

Datasets

Dataset	Name in framework
ImageNet100	imagenet100
NUS-WIDE	nuswide
MS-COCO	coco
MIRFLICKR/Flickr25k	mirflickr
Stanford Online Product	sop
Cars dataset	cars
CIFAR10	cifar10