Jun 16, 2022 · SMSL is efficient and general, which can be integrated in both single-stage and two-stage detectors to boost detection performance, with nearly ...
Sep 7, 2021 · We propose an architecture, named selective multi-scale learning (SMSL), to dynamically learn a better feature representation for each level from multi-scale ...
We propose a better architecture of feature pyramid networks, named selective multi-scale learning (SMSL), to address this issue. SMSL is efficient and general, ...
We propose a better architecture of feature pyramid networks, named selective multi-scale learning (SMSL), to address this issue. SMSL is efficient and general, ...
Jun 16, 2022 · SMSL is efficient and general, which can be integrated in both single-stage and two-stage detectors to boost detection performance, with nearly ...
By improving multi-scale features with strong seman- tics, the performance of object detection has been substan- tially improved. However, there exist some ...
Jun 10, 2023 · We propose a multi-scale feature selective matching network (MFSMNet) to improve the performance of small-size object detection and alleviate the positive and ...
In this paper, we begin by first analyzing the design defects of feature pyramid in FPN, and then introduce a new feature pyramid architecture named AugFPN to ...
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We propose a multi-scale feature selective matching network (MFSMNet) to improve the performance of small-size object detection and alleviate the positive and ...
SMSL is efficient and general, which can be integrated in both single-stage and two-stage detectors to boost detection performance, with nearly no extra ...