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GenVQA
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324b3bebdae5baad3d5d6c96bc9b8357458664a0
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20
resnet_50_train_val
acc_vs_qa_rarity
acc_vs_ratio
rel_bin_feats
extract_word_vectors
no_single_feats_pretrained
no_single_feats_discon
single_features
no_single_feats
simple_avg_reg_feat
add_test_eval
use_margin_mil_loss
backup_simple_avg_reg_feat
bn_before_feat_add
use_detector_scores
discon_wordvec_classifiers
avg_reg_feats
fix_genome_split
GenVQA_obj_atr_ans_mil
inner_product_selection
20 results
GenVQA
losses.py
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authors
aiyucui2
aiyucui2
amallya2
amallya2
andyz3
andyz3
ardeshp2
ardeshp2
czou4
czou4
Daeyun Shin
dshin11
dbmckee2
dbmckee2
degol2
degol2
dhoiem
dhoiem
jjrock2
jjrock2
jz41
jz41
kjshih2
kjshih2
lee896
lee896
lwang97
lwang97
mantas3
mantas3
marten4
marten4
mchong6
mchong6
michal5
michal5
Naren Dasan
sivagna2
rk2
rk2
20 authors
Oct 12, 2016
change mil loss to use scores instead of softmax prob
· 582c88c7
tgupta6
authored
8 years ago
582c88c7
Oct 09, 2016
margin based loss for object training
· 4d563c2d
tgupta6
authored
8 years ago
4d563c2d
Oct 08, 2016
remove tailing : in losses
· 696cacfb
tgupta6
authored
8 years ago
696cacfb
multilabel_margin_loss
· f6fa768f
tgupta6
authored
8 years ago
f6fa768f
Sep 28, 2016
scratch initializer in train script and mil loss
· 7f64b299
tgupta6
authored
8 years ago
7f64b299
Jul 24, 2016
add code to cache resnet features
· 8a23bd6d
tgupta6
authored
8 years ago
8a23bd6d
Jul 11, 2016
Val data creation script and answer fine tune and eval scripts
· 4a3a7971
tgupta6
authored
8 years ago
4a3a7971
Jun 21, 2016
Add edge boxes, eval with PR for attribute code and cleanup of constants
· e7e96c90
tgupta6
authored
8 years ago
e7e96c90
Jun 14, 2016
object attribute classifier training, fine-tune, test setup
· 4d7f6f09
tgupta6
authored
8 years ago
4d7f6f09
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