Abstract: Few-shot object detection (FSOD) aims to recognize novel class targets using limited annotated data. Conventional approaches rely on extensive base class training, followed by fine-tuning ...
3d
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
Abstract: Aiming at the interference of background clutter on infrared small target detection in complex environment , a target detection algorithm combining a tensor recovery model and a constrained ...
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