May 30, 2023 · We introduce MQ-Det, an efficient architecture and pre-training strategy design to utilize both textual description with open-set generalization and visual ...
YifanXu74/MQ-Det: Official PyTorch implementation of "Multi-modal ...
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Official code and models for the NeurIPS 2023 paper: Multi-modal Queried Object Detection in the Wild. Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, ...
MQ-Det's simple yet effective architecture and training strategy design is compatible with most language-queried object detectors, thus yielding versatile.
Oct 16, 2023 · The paper propose MQ-Det, a novel module that integrates both language and visual queries efficiently for object detection tasks. This module enhances each ...
May 30, 2024 · We introduce MQ-Det, an efficient architecture and pre-training strategy design to utilize both textual description with open-set ...
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MQ-Det is introduced, an efficient architecture and pre-training strategy design to utilize both textual description with open-set generalization and visual ...
Sep 4, 2024 · In this paper, we for the first time explore helpful multi-modal contextual knowledge to understand novel categories for open-vocabulary object ...
Official PyTorch implementation of "Multi-modal Queried Object Detection in the Wild" (accepted by NeurIPS 2023). Python 258 12.
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Few-Shot Object Detection. Highlighting mentions of paper "Multi-modal Queried Object Detection in the Wild" ×. Few-Shot Object Detection on ODinW-35.