MULTI-LEVEL JOINT FEATURE LEARNING FOR PERSON RE-IDENTIFICATION

Multi-Level Joint Feature Learning for Person Re-Identification

In person re-identification, extracting image features is an important step when retrieving pedestrian images.Most of the current methods only extract global features or local features of pedestrian images.Some inconspicuous details are easily ignored when learning image features, which is not efficient or robust to for scenarios Endurance Fender w

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The Locus of Adversative Conjunctions in the Research Articles

This study is an endeavor Crib Mattress to find how English native and nonnative EFL/ESL (English as foreign language/English as second language) writers use adversative conjunctions to connect ideas together so that texts have both coherence and cohesion.Regarding the problems nonnative writers of EFL face when composing a piece of writing, we att

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Transcriptomic analysis reveals the molecular mechanisms of drought-stress-induced decreases in Camellia sinensis leaf quality

The tea plant [Camellia sinensis (L.) O.Kuntze] is an important commercial crop rich in bioactive ingredients, especially catechins, caffeine, theanine and other free amino acids, which the quality of tea leaves depends on.Drought is the most important environmental stress affecting the yield and quality of this plant.In this study, the effects of

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