mlsanityData to 7 Oct 2026

Enhanced Object Detection: A Study on Vast Vocabulary Object Detection Track for V3Det Challenge 2024

arXiv 2406.09201 ↗First posted 13 Jun 2024cs.CVcited by 1

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Abstract (arXiv)

In this technical report, we present our findings from the research conducted on the Vast Vocabulary Visual Detection (V3Det) dataset for Supervised Vast Vocabulary Visual Detection task. How to deal with complex categories and detection boxes has become a difficulty in this track. The original supervised detector is not suitable for this task. We have designed a series of improvements, including adjustments to the network structure, changes to the loss function, and design of training strategies. Our model has shown improvement over the baseline and achieved excellent rankings on the Leaderboard for both the Vast Vocabulary Object Detection (Supervised) track and the Open Vocabulary Object Detection (OVD) track of the V3Det Challenge 2024.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 40 of its 50 references that are in the map. First posted on arXiv 13 Jun 2024.

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40 of 50 references.

References · 40

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28 more
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Citing papers per year: 2024: 1.

1 paper.

  1. 2024V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Resultscited by 1