Web[ALGORITHM] Side-Aware Boundary Localization for More Precise Object Detection (10 ckpts) [ALGORITHM] SCNet (4 ckpts) [ALGORITHM] Rethinking ImageNet Pre-training (2 ckpts) [ALGORITHM] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (5 ckpts) [ALGORITHM] SSD: Single Shot MultiBox Detector (2 ckpts) WebDec 9, 2024 · 12/09/19 - Current object detection frameworks mainly rely on bounding box regression to localize objects. Despite the remarkable progress in...
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WebJun 2, 2024 · Furthermore, Side-Aware Boundary Localization (SABL) was proposed for precise localization proposals in object detection. Each side of the bounding box is localized with a dedicated network branch. Empirically, this method observes that when they manually annotate a bounding box for an object, it is frequently easier to align each side of the box … Web17. J. Wang et al. "Side-aware boundary localization for more precise object detection" Proc. Eur. Conf. Comput (ECCV) pp. 403-419 Aug. 2024. 18. H. Zhang H. Chang B. Ma N. Wang and X. Chen "Dynamic R-CNN: Towards high quality object detection via dynamic training" in arXiv:2004.06002 2024. 19. how to survive a family reunion
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WebIn this paper, we propose an alternative approach, named as Side-Aware Boundary Localization (SABL), where each side of the bounding box is respectively localized with a … WebNov 1, 2024 · Side-aware boundary localization (SABL) is induced to obtain a much more accurate bounding box. Based on the two-stage target detection model Faster R-CNN, Cascade R-CNN can optimize the prediction results continuously by cascading several detection networks with different IoU thresholds in the ROI target detection stage, which … WebDec 13, 2024 · 使用Side-Aware Boundary Localization (SABL)取代之前的bbox regression分支,对bbox的每条边分别定位,提高了定位的精度;. 使用Bucketing scheme进行细粒度目标定位以及对分类进行rescore,降低高精度bbox的抑制率;. 在COCO数据集中,在Faster R-CNN、RetinaNet以及Cascade R-CNN的基础上 ... reading riverside restaurants