GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates
Summary
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates is a scholarly article[1].
Key Facts
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates. Retrieved May 24, 2026, from https://4ort.xyz/entity/gradingnet-towards-providing-reliable-supervisions-for-weakly-supervised-object-detection-by-grading-the-box-candidates
MLA“GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gradingnet-towards-providing-reliable-supervisions-for-weakly-supervised-object-detection-by-grading-the-box-candidates.
BibTeX@misc{4ortxyz_gradingnet-towards-providing-reliable-supervisions-for-weakly-supervised-object-detection-by-grading-the-box-candidates_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates}}, year = {2026}, url = {https://4ort.xyz/entity/gradingnet-towards-providing-reliable-supervisions-for-weakly-supervised-object-detection-by-grading-the-box-candidates}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates — https://4ort.xyz/entity/gradingnet-towards-providing-reliable-supervisions-for-weakly-supervised-object-detection-by-grading-the-box-candidates (retrieved 2026-05-24)
