250 research outputs found
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification
Recent work on scene classification still makes use of generic CNN features
in a rudimentary manner. In this ICCV 2015 paper, we present a novel pipeline
built upon deep CNN features to harvest discriminative visual objects and parts
for scene classification. We first use a region proposal technique to generate
a set of high-quality patches potentially containing objects, and apply a
pre-trained CNN to extract generic deep features from these patches. Then we
perform both unsupervised and weakly supervised learning to screen these
patches and discover discriminative ones representing category-specific objects
and parts. We further apply discriminative clustering enhanced with local CNN
fine-tuning to aggregate similar objects and parts into groups, called meta
objects. A scene image representation is constructed by pooling the feature
response maps of all the learned meta objects at multiple spatial scales. We
have confirmed that the scene image representation obtained using this new
pipeline is capable of delivering state-of-the-art performance on two popular
scene benchmark datasets, MIT Indoor 67~\cite{MITIndoor67} and
Sun397~\cite{Sun397}Comment: To Appear in ICCV 201
MDSC: Towards Evaluating the Style Consistency Between Music and
We propose MDSC(Music-Dance-Style Consistency), the first evaluation metric
which assesses to what degree the dance moves and music match. Existing metrics
can only evaluate the fidelity and diversity of motion and the degree of
rhythmic matching between music and motion. MDSC measures how stylistically
correlated the generated dance motion sequences and the conditioning music
sequences are. We found that directly measuring the embedding distance between
motion and music is not an optimal solution. We instead tackle this through
modelling it as a clustering problem. Specifically, 1) we pre-train a music
encoder and a motion encoder, then 2) we learn to map and align the motion and
music embedding in joint space by jointly minimizing the intra-cluster distance
and maximizing the inter-cluster distance, and 3) for evaluation purpose, we
encode the dance moves into embedding and measure the intra-cluster and
inter-cluster distances, as well as the ratio between them. We evaluate our
metric on the results of several music-conditioned motion generation methods,
combined with user study, we found that our proposed metric is a robust
evaluation metric in measuring the music-dance style correlation. The code is
available at: https://github.com/zixiangzhou916/MDSC.Comment: 17 pages, 17 figur
Experimental study on ground vibration response in gun firing environment
In order to know the ground vibration response law of gun firing environment, a large caliber gun was taken as the research object, and the ground vibration response law of gun firing environment was tested. Several acceleration sensors are arranged on the ground around the gun, and the ground vibration acceleration response laws of the gun position in the firing environment are obtained. The firing of gun will cause the ground vibration of gun position. In the bore period, as long as the projectile is fired, there will be acceleration response on the ground of the gun position. The maximum acceleration response of ground vibration in the bore period of projectile is less than 0.03Â g. The maximum acceleration response of ground vibration is less than 0.1Â g after projectile exits the muzzle and before the muzzle shock wave reaches the ground. If the sensor bracket is placed on the ground around the gun, when the muzzle shock wave does not reach the sensor position, the influence of ground vibration on the sensor can be neglected. Once the muzzle shock wave reaches the sensor position, its influence should be paid attention to
Study on experiment measurement method of braking force of muzzle brake for vibration analysis
The braking force of the muzzle brake affects not only the strength of the connection thread of the muzzle brake, but also the vibration response of the artillery structure. Due to the complex formation process of the braking force of the muzzle brake, the current theoretical calculation method is used to estimate. This paper presents an experimental measurement method for artillery force of muzzle brake, which describes the measurement principle and deduces the calculation formula. The small-caliber cannon with muzzle brake is selected as the test object. A verification shooting experiment is carried out to obtain the size of the artillery force of the muzzle brake. The measurement values of the artillery force are basically consistent with the theoretical ones. The measurement method and principle introduced in this paper can be applied in the actual artillery force measurement of the muzzle brake. In this paper, the strain measurement principle is used to complete the experimental test of the braking force of the muzzle brake. This paper innovatively proposes a new method for testing the braking force, which has the advantages of simple operation, no need to manufacture special tooling, and low cost
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