rksltnl Deep-Metric-Learning-CVPR16 issues

rksltnl / Deep-Metric-Learning-CVPR16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

MIT License

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Dataset link is not working

#28 Baran-phys opened 2 years ago
0
Look for Stanford Online Products dataset

#27 booyoungxu closed 5 years ago
1
small image error

#26 wang5566 opened 6 years ago
0
For training, is't necessary to normalize the feature before LiftedStructSimilaritySoftmaxLoss layer?

#25 ysc703 closed 6 years ago
1
why shift the cost for negative samples before applying exponent?

#24 patzm closed 7 years ago
1
Lower values of recall@k than reported on the paper

#23 mo-morikawa closed 5 years ago
1
cudnn.hpp(126): Error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

#22 Ashutosh1995 opened 7 years ago
1
Out of memory

#21 nerddd opened 7 years ago
0
Test error

#20 nerddd closed 7 years ago
0
mex compilation fails

#19 gavinmh closed 7 years ago
1
Some questions

#18 ysc703 closed 7 years ago
1
Compile failed

#17 nerddd closed 7 years ago
0
math_functions.cu:375] Check failed: status == CURAND_STATUS_SUCCESS (201 vs. 0) CURAND_STATUS_LAUNCH_FAILURE

#16 yja1 closed 7 years ago
1
gen_caffe_dataset_multilabel_m128.m run error

#15 yja1 closed 7 years ago
23
missing nagetive_sampler implementation

#14 kwin-wang closed 7 years ago
0
run the compile.m failed

#13 dldl3D closed 7 years ago
3
why there is no GPU implementation of this loss layer?

#12 nanoart closed 7 years ago
1
solver files for CUB-200-2011

#11 vadimkantorov closed 7 years ago
1
GIF's in the Ebay dataset

#10 vadimkantorov closed 7 years ago
5
Why the gradient of x_i is dividing dist_pos in lifted_struct_similarity_softmax_layer.cpp

#9 zjchuyp closed 8 years ago
2
Invalid MEX-file '/home/rpk/caffe_set/Deep-Metric-Learning-CVPR16/Caffe-Deep-Metric-Learning-CVPR16/matlab/code/serialized_pairs_to_leveldb.mexa64': libcaffe.so: cannot open shared object file: No such file or directory

#8 camel007 closed 8 years ago
10
Question about mining pairs

#7 bkj closed 8 years ago
2
loss=nan ,use my own data

#6 louielu1027 closed 8 years ago
8
generate data

#5 camel007 closed 8 years ago
0
data processing

#4 louielu1027 closed 8 years ago
1
loss = nan when setting embedding size to 64

#3 BeSlower closed 8 years ago
7
GPU issue

#2 pribadihcr closed 8 years ago
3
compile.m fails

#1 ZhouYzzz closed 8 years ago
2