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OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...
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Dogs can actually detect objects underwater
The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and retrieval abilities. Mike Johnson’s epic eye roll as he gets birthright ...
Abstract: Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of classes observed during training. This work introduces a straightforward and efficient strategy that ...
A security researcher has released exploit code for a Visual Studio Code (VS Code) zero-day vulnerability that allows attackers to steal GitHub authentication tokens by tricking users into clicking a ...
Dynamic workflows in Claude Opus 4.8.8 offer a structured way to handle complex tasks by dividing them into smaller, independent components. These workflows enable parallel task execution, where ...
Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...
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