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Omni-Scale Feature Learning for Person Re-Identification
Person re-identification (re-ID) is a fundamental task in distributed multi-camera surveillance, aiming to match people appearing in different non-overlapping camera views. -
Multimodal Contrastive Learning
The dataset used in the paper is a collection of pairs of observations (xi, ˜xi) from two modalities, where xi ∈ Rd1 and ˜xi ∈ Rd2. The dataset is used to evaluate the... -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...