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- Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning67
This work introduces Surgical SAM 2 (SurgSAM2), an advanced model to utilize SAM2 with an Efficient Frame Pruning (EFP) mechanism, to facilitate real-time surgical video segmentation in resource-constrained environments, and significantly improves both efficiency and segmentation accuracy.
- Effects of an Integrated Neurofeedback System with Dry Electrodes: EEG Acquisition and Cognition Assessment53
It is found that upregulation of the alpha power density improved working memory following short-term training (only five training sessions in a week), while the attention network regulation may be related to other frequency band activities, such as theta and beta.
- Boosting 3D Object Detection by Simulating Multimodality on Point Clouds41
Experimental results on the nuScenes dataset show that the approach outperforms all SOTA LiDAR-only 3D detectors and even surpasses the baseline LiDar-image detector on the key NDS metric, filling the gap be-tween the single- and multi-modality detectors.
- Spiking Neural Network Models of Interaural Time Difference Extraction via a Massively Collaborative Process6
This project investigated how a range of biological parameters, from time delays to membrane time constants and levels of inhibition, could impact sound localization in networks of spiking units, and demonstrated the potential for massively collaborative projects to transform neuroscience.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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