Plunger 39, Rake 40, Rope 101, Ruler 106, Safe 71, Satellite 42, Scales 78, Scissors 44, Scoop net 28, Screw 34, Screwdriver 59, Sewing needle 41, Shovel 61, Snow shovel 33, Snowmobile 44, Tap 140, Typewriter 98, Walking stick 35, Water heater 85, Wheelbarrow 31, Wrench, spanner ...
(4). The joint function consisted of two components, which influenced the training of the network through different weight parameters. A time-dependent Gaussian warming up function [24] was used to weight the two losses. For comparison, we also set the weighting parameter λ be 0.05, 0.1. ...
,Fcs^,…,Fc3^} by learning the weights of feature maps for different scales. There are abundant temporal information in multitemporal SAR images, which are essential for road detection from SAR images. There are two reasons that motivate us to use multi-temporal information to detect roads ...
<weight>-S <weight>-M <weight>-L Scale factor 0.783 1.0 1.29 The system automatically centers symbols vertically to San Francisco’s cap-height in all the different scales and weights. It’s important to position your custom symbol using the specified guides to make sure it appears correctly...
explain polarity inversion either, as the non-linearity only scales the gradient by a non-negative number. A special case is a model composed of a linear filter followed by a quadratic non linearity15: since the non-linearity is not monotonic, it multiplies the gradient by a number that can...
When fit is false, instead of padding around the image to meet the new dimensions, it instead scales it in such a way that the smallest dimension of the image fits the desired size. Then it will crop the larger dimension so that the resulting image still fits the proportioned size. A ...
which involve adjusting the weight connections between neurons during training, have been made possible by the development of techniques such as the Rectified Linear Unit (ReLU)27, dropout regularization28, batch normalization29, and improvements in GPU technology. While CNN-based approaches have achieve...
(num_scales,num_dets),dtype=np.float32)...# 如果 GT 中有 GroupOf 参数,并且考虑 GroupOf 进行计算ifgt_bboxes_group_ofisnotNoneanduse_group_of:# 将 gt_bbox 分为 non_group_gt_bboxes 和 group_gt_bboxes 并分别计算相应的 IoU 和 IoA(IoF)assertgt_bboxes_group_of.shape[0]==gt_...
These global features are used as channel weights to acquire adaptive weight information of each channel by the fully connected layer. To accomplish an efficient fusion, these tuned weights are applied to the fused features. Performance of the proposed method has been evaluated by comparing it with...
We combine the advantages of CNN and RNN to preserve the short-term and long-term spatial correlation between the features at different scales. In addition, the majority-voting method summarizes the results of six views to determine the final category, avoiding one-sidedness under a single view....