AlignDet is an innovative pre-training framework developed to address discrepancies in data, model, and task between pre-training and fine-tuning stages in object detection algorithms. These disparities potentially limit a detector’s…
Continue readingThis paper explores the application of Federated Learning (FL) to object detection as a method to enhance generalizability and compares its performance against a centralized training approach for an object…
Continue readingThis paper presents a new multi-task active learning strategy for two interconnected vision tasks: object detection and semantic segmentation. The authors propose a method that leverages the inconsistency between these…
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