WebJul 1, 2024 · Building on deep representation learning, deep supervised hashing has achieved promising performance in tasks like similarity retrieval. However, conventional code balance constraints (i.e., bit balance and bit uncorrelation) imposed on avoiding overfitting and improving hash code quality are unsuitable for deep supervised hashing … WebIn addition, the proposed method supports a large family of empirical loss functions, which is particularly instantiated in this paper by both a supervised and an unsupervised hashing losses, together with the bits uncorrelation and balance constraints.
A Probabilistic Code Balance Constraint with Compactness and
WebApr 25, 2024 · We enforce three criterions on binary codes which are learned at the top layer of our network: 1) minimal loss quantization, 2) evenly distributed codes and 3) … WebThe properties of the binary code, a.k.a bit balance and bit uncorrelation, have been proved to be very significant [21]. Bit balance means that each bit has the same chance … marsh green urc church
[1904.11207] Exploring Auxiliary Context: Discrete …
WebApr 25, 2024 · A novel and effective discrete optimization method based on augmented Lagrangian multiplier is developed to iteratively solve the optimization problem. The whole learning process has linear... WebSep 17, 2012 · In this scenario, the performance of BITS is slower than expected. For example, assume that the overall network bandwidth is 244 KB per second. Additionally, … WebSep 22, 2016 · Besides, we integrate a parameter boosting strategy to strengthen the precision with the consideration of bit balance and uncorrelation constraints. Extensive experiments on three large-scale ... marsh grass drawing