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GenVQA
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avg_reg_feats
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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
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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 13, 2016
use averaged region features instead of averaging prob
· 49a622c1
tgupta6
authored
8 years ago
49a622c1
Oct 12, 2016
change params in constants_crunchy
· 1a015d00
tgupta6
authored
8 years ago
1a015d00
change mil loss to use scores instead of softmax prob
· 582c88c7
tgupta6
authored
8 years ago
582c88c7
add yes no features and detector scores as answering features
· cf15ccfa
tgupta6
authored
8 years ago
cf15ccfa
Oct 11, 2016
object detector scores as question answering features
· aa661802
tgupta6
authored
8 years ago
aa661802
Oct 10, 2016
constants_vision_gpu_2
· 2bb5fc27
tgupta6
authored
8 years ago
2bb5fc27
Oct 09, 2016
constants_vision_gpu_1 update
· 477b988e
tgupta6
authored
8 years ago
477b988e
constants_crunchy that works with new obj loss/fine_tune with decayed lr
· c8a4e586
tgupta6
authored
8 years ago
c8a4e586
top k metrics for evaluation object detectors
· 0ce3ba5e
tgupta6
authored
8 years ago
0ce3ba5e
margin based loss for object training
· 4d563c2d
tgupta6
authored
8 years ago
4d563c2d
multi hot object label vector in cropped_regions_cached_features.py
· 5a257b12
tgupta6
authored
8 years ago
5a257b12
allow fine_tune to begin with decayed learning rate
· 2216f3bc
tgupta6
authored
8 years ago
2216f3bc
remove object and group from object_labels.json (modification in visual_genome_parser.py)
· 726009a2
tgupta6
authored
8 years ago
726009a2
changed genome test ids to simple
· 69e525c6
tgupta6
authored
8 years ago
69e525c6
added obj visualization flag in constants_crunchy
· e4183eca
tgupta6
authored
8 years ago
e4183eca
Oct 08, 2016
change to_region_with_hypernym_labels in constants_crunchy
· 23179b1b
tgupta6
authored
8 years ago
23179b1b
remove tailing : in losses
· 696cacfb
tgupta6
authored
8 years ago
696cacfb
changes object loss in answer train script to measure presence in top 5
· 608abd82
tgupta6
authored
8 years ago
608abd82
added metrics for object classification performance
· f290b6ef
tgupta6
authored
8 years ago
f290b6ef
no fractional object prob in gt label vector
· a0c4b8aa
tgupta6
authored
8 years ago
a0c4b8aa
multilabel_margin_loss
· f6fa768f
tgupta6
authored
8 years ago
f6fa768f
if unknown then no gradient (changed object labels in cropped_regions_cached_features.py)
· 98f2b8b5
tgupta6
authored
8 years ago
98f2b8b5
add_hypernyms fun in visual_genome_parser
· f88c7cd9
tgupta6
authored
8 years ago
f88c7cd9
flag for visualizing object prediction
· 7e43c711
tgupta6
authored
8 years ago
7e43c711
Oct 06, 2016
removed arg space_dim from answer_classifier_cached_features/train.py and inference.py
· 708f8389
tgupta6
authored
8 years ago
708f8389
simple genome split and cleaner constants file
· 7fc938b4
tgupta6
authored
8 years ago
7fc938b4
make ans eval and train compatible with each other (resolved conflict in ans train)
· 2ed2f60a
tgupta6
authored
8 years ago
Conflicts: answer_classifier_cached_features/train.py
2ed2f60a
obj atr eval script now can write html files to display results
· 89f48388
tgupta6
authored
8 years ago
89f48388
Sep 30, 2016
l2 on word vectors and put back relu and bn in obj atr network
· ab98b61f
tgupta6
authored
8 years ago
ab98b61f
Sep 28, 2016
global step in optimizer
· e4728984
tgupta6
authored
8 years ago
e4728984
constants gpu1 change
· ef44688d
tgupta6
authored
8 years ago
ef44688d
obj atr with mil and ans loss working and also lr decay
· 3758e7a5
tgupta6
authored
8 years ago
3758e7a5
bn in answer inference
· 849c57e3
tgupta6
authored
8 years ago
849c57e3
scratch initializer in train script and mil loss
· 7f64b299
tgupta6
authored
8 years ago
7f64b299
vector encoding of nouns and attributes for mil loss
· ab5bacd1
tgupta6
authored
8 years ago
ab5bacd1
Sep 27, 2016
add missing self.
· 1d8b3321
tgupta6
authored
8 years ago
1d8b3321
add batchnorm in final answer scoring net and 2 extra features
· b1c00c13
tgupta6
authored
8 years ago
b1c00c13
Sep 21, 2016
inner_product_selection functional but not a good idea
· e6318fb6
tgupta6
authored
8 years ago
e6318fb6
Sep 19, 2016
wrap_elementwise_multiply
· 97d8c1ed
tgupta6
authored
8 years ago
97d8c1ed
Sep 14, 2016
relevance visualization
· fed5bca0
tgupta6
authored
8 years ago
fed5bca0
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