Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

Abstract: Test-time few-shot object detection (FSOD) represents an innovative approach for identifying novel categories using a limited number of support examples, obviating the need for model ...

Of course this flow is a very simplified version of the real AI search engines, but it is a good starting point to understand the basic concepts. One benefit is that we can manipulate the search ...

Evaluation allows us to assess how a given model is performing against a set of specific tasks. This is done by running a set of standardized benchmark tests against the model. Running evaluation ...