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Status: Unchecked ×Keyword: Pascal VOC 2007 ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Soft-NMS — Improving Object Detection with One Line of Code

   Bodla, Singh, Chellappa and Davis · IEEE International Conference on Computer Vision (ICCV) · 2017

   The paper proposes Soft-NMS, which lowers the scores of overlapping detection boxes instead of deleting them, and reports consistent accuracy gains on PASCAL VOC 2007 and MS-COCO.

   Unchecked2 claims
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   1. Unchecked“Using Deformable-RFCN, Soft-NMS improves state-of-the-art in object detection from 39.8% to 40.9% with a single model.”
   2. UncheckedThe paper says Soft-NMS has the same computational complexity as traditional non-maximum suppression, so it can be implemented efficiently.“Further, the computational complexity of Soft-NMS is the same as traditional NMS and hence it can be efficiently implemented.”