A quadruplet selection heuristic that pairs very hard negatives with relatively easy positives from matching hierarchical classes boosts embedding performance on fine-grained datasets.
If x∈ cj 1, then by using hard decision, p(ci
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Quadruplet Selection Methods for Deep Embedding Learning
A quadruplet selection heuristic that pairs very hard negatives with relatively easy positives from matching hierarchical classes boosts embedding performance on fine-grained datasets.