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2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Mutual-Assistance Learning for Object Detection

   Xie, Lang, Miao, Cheng, Li and Han · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023

   The paper proposes MADet, a one-stage object detector built on mutual-assistance learning, and reports 42.5% AP on MS-COCO with a ResNet50 backbone, which it describes as a new state of the art.

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   1. UncheckedIn the MADet detector's head, separate classification and regression features are recombined to give shared offsets, avoiding mismatches caused by zero or wrong offsets.“Decoupled classification and regression features are reintegrated to provide shared offsets, avoiding inconsistency between feature-prediction pairs induced by zero or erroneous offsets.”
   2. UncheckedThe MADet detector uses anchor-based and anchor-free regression together to better find objects with elongated shapes or hidden behind similar-sized objects.“Both anchor-based and anchor-free regression fashions are utilized jointly to boost the capability to retrieve objects with various characteristics, especially for large aspect ratios, occlusion from similar-sized objects, etc.”