http://staff.ustc.edu.cn/~cheneh/paper_pdf/2024/Joya-Chen-TOIP.pdf WebTo mitigate the adverse effects caused thereby, we propose Libra R-CNN, a simple but effective framework towards balanced learning for object detection. It integrates three novel components: IoU-balanced sampling, balanced feature pyramid, and balanced L1 loss, respectively for reducing the imbalance at sample, feature, and objective level ...
Visualization of training samples under random sampling and IoU ...
WebArgs: num (int): number of proposals. pos_fraction (float): fraction of positive proposals. floor_thr (float): threshold (minimum) IoU for IoU balanced sampling, set to -1 if all … WebIoU-balanced sampling [12]) re-samples a subset of training samples; (b) Soft sampling (e.g. Focal Loss [17], GHM [24], PISA [35]) uses all training samples but focuses on some of them by re-weighting. For instance, thicker boxes in … how to sell the seashell in bloxburg
Towards Balanced Learning for Instance Recognition
Web23 aug. 2024 · It integrates IoU-balanced sampling, balanced feature pyramid, and objective re-weighting, respectively for reducing the imbalance at sample, feature, and objective level. Extensive experiments conducted on MS COCO, LVIS and Pascal VOC datasets prove the effectiveness of the overall balanced design. PDF Abstract Code Edit Web24 nov. 2024 · 1、IoU-balanced Sampling. M个候选框选择N个hard negative,选中的概率就是: N个样本通过IoU的值划分为K个区间,每个区间中的候选采样数为Mk,则IoU-balanced sampling的采样公式即为: 作者通过在IoU上均匀采样, 把hard negative在IoU上均匀分布。 2、Balanced Feature Pyramid. Web14 nov. 2024 · 通过一个简单的sampling改进,可以把最后的结果从baseline就是random sampling的35.9提升到IoU-balanced sampling的36.8,大概是0.9个点,虽然这个点相比于一些方法来说不是很多,但这篇paper讲了3个部分,这只是其中一个部分,而且对速度没有任何负面的影响,所以把它作为一个涨点的trick还是不错的。 how to sell theta tokens