290 research outputs found

    Iterative Object and Part Transfer for Fine-Grained Recognition

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    The aim of fine-grained recognition is to identify sub-ordinate categories in images like different species of birds. Existing works have confirmed that, in order to capture the subtle differences across the categories, automatic localization of objects and parts is critical. Most approaches for object and part localization relied on the bottom-up pipeline, where thousands of region proposals are generated and then filtered by pre-trained object/part models. This is computationally expensive and not scalable once the number of objects/parts becomes large. In this paper, we propose a nonparametric data-driven method for object and part localization. Given an unlabeled test image, our approach transfers annotations from a few similar images retrieved in the training set. In particular, we propose an iterative transfer strategy that gradually refine the predicted bounding boxes. Based on the located objects and parts, deep convolutional features are extracted for recognition. We evaluate our approach on the widely-used CUB200-2011 dataset and a new and large dataset called Birdsnap. On both datasets, we achieve better results than many state-of-the-art approaches, including a few using oracle (manually annotated) bounding boxes in the test images.Comment: To appear in ICME 2017 as an oral pape

    Asymptotic Stability and Exponential Stability of Impulsive Delayed Hopfield Neural Networks

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    A criterion for the uniform asymptotic stability of the equilibrium point of impulsive delayed Hopfield neural networks is presented by using Lyapunov functions and linear matrix inequality approach. The criterion is a less restrictive version of a recent result. By means of constructing the extended impulsive Halanay inequality, we also analyze the exponential stability of impulsive delayed Hopfield neural networks. Some new sufficient conditions ensuring exponential stability of the equilibrium point of impulsive delayed Hopfield neural networks are obtained. An example showing the effectiveness of the present criterion is given

    Reactive scattering for H - + H 2 and H + + H 2 and its isotopologues : classical versus quantum investigation

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    In the present doctoral thesis, the reactive scattering for H- + H2 and H+ + H2 and its isotopologues were investigated using different methods to solve the equations describing classical and quantum mechanics. The studies aimed at providing insights into elementary reactions, and may even go beyond these to more complex chemical reactions. The main results in this dissertation can be summarized as follows: In Chapter 2 the equations solving problems in quasi-classical mechanics were described, which led to the definition of energy dependent reaction probabilities and reaction cross sections. The formalism for time-dependent methods for the investigation of scattering processes was presented in Chapter 3. In this section we discussed how to use the time-dependent quantum wavepacket method to study the A-BC system. The dependence of the reaction probabilities on the total angular momenta J was calculated to obtain information about the integral reactive cross section. The potential energy surfaces (PESs) for H3+ and H3- were described in Chapter 4. For the H3+ system, a cut through the potential energy surface (PES) in the asymptotic region was presented. For the H3- system three available ab initio potential energy surfaces have been used in the applications: a) Stärck and Meyer (SM-PES), b) Panda and Sathyamurthy (PS-PES), and c) Ayouz et al. (AY-PES). The differences in the PESs were investigated. In the beginning of Chapter 5 the H+ + H2(v=0-5, j=0) collision was investigated nonadiabatically. By comparison of the reaction probabilities using adiabatic and non-adiabatic representations of the potential energy surfaces, it was found that, at low collision energies, the reaction preferentially occurs adiabatically, but at higher collision energies non-adiabatic effects have to be taken into account. Reaction probabilities and reaction cross sections for the collision H- with H2 and its isotopologues using quasi-classical trajectories and quantum wavepackets were presented in the main part of Chapter 5. It was found that, at low collision energies, the reaction probabilities using SM-PES and AY-PES are very similar. The reaction probabilities based on the PS-PES are lower than those based on the SM-PES and AY-PES. At lower collision energies the reaction cross sections calculated with SM-PES are higher than those calculated with PS-PES. The reaction cross sections investigated with quasi-classical trajectories are higher than those calculated with quantum wavepackets (using the same potential). The last section of Chapter 5 showed results for the collision of H- and D- with HD. The total I reaction probabilities, the reaction cross sections, and the product ratios were determined using quasi-classical trajectories. One can learn from these calculations that for the H- + HD(v=0-1, j=0) reaction and low collision energies, the main product are H2 + D-. At high collision energies, the product channel HD + H- is slightly dominant. For the collision of D- with HD and low collision energies the product channel HD + D- is strongly favored, but in the high collision energy range, the product channel D2 + H- dominates
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