Shypd.aiThe largest open index of AI toolsSoft-NMS is an open-source object detection tool that improves performance by refining bounding box predictions. It integrates with existing object detectors like R-FCN and Faster-RCNN, offering linear or Gaussian weighting options.
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Soft-NMS is an open-source algorithm designed to enhance the accuracy of object detection models. It works by intelligently re-scoring bounding box predictions, providing a more robust alternative to traditional Non-Maximum Suppression (NMS). The tool is integrated with popular object detectors such as R-FCN and Faster-RCNN, allowing users to easily incorporate Soft-NMS into their existing pipelines. It supports both linear and Gaussian weighting schemes, with configurable parameters for fine-tuning. Soft-NMS has demonstrated significant performance improvements in challenges like COCO 2017, where it was adopted by many top-performing submissions. The repository provides code for testing models and includes updated ROI Pooling layers for improved interpolation.
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