Official PyTorch implementation of YOLOE. ICCV 2025. Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
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'When the call of cake proved too powerful, the graph reacted predictably': my life with a continuous glucose monitor
However, when things went a bit sideways and the call of the cake tin proved more powerful than my own will, the line on the ...
Abstract: Graph Neural Networks (GNNs) have recently been utilized to build Collaborative Filtering (CF) models to predict user preferences based on historical user-item interactions. However, there ...
Abstract: Complex network has been a powerful tool for time series analysis by encoding dynamical temporal information in network topology. In this article, we introduce a framework to build a bridge ...
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