So, when performing multi-scale inference, can we predict regions containing small objects from coarser scales? 如果深度卷积神经网络是生物视觉的近似,那么应该可以以较低的分辨率定位类似物体的区域,并通过以更高的分辨率放大它们来识别它们,类似于我们的周边视觉与中央凹视觉的耦合方式。为此,我们提出了一个名...
2.2 FocusChip Generation 在推断时,根据阈值t得到FcousPixels(二值图), 并膨胀该二值图以获得更多的上下文区域,然后获得其连通成分,生成包围每个连通成分的矩形chips并保证大小大于k,最后将重叠的矩形区域合并成一个,得到最终的Chips,在多尺度图像金字塔上迭代地截取区域做推断。算法如下。 2.3 Focus Stacking for Obj...
Motivate by this, in this paper, a novel Dense Multi-scale Inference Network (DMINet) is proposed for the accurate SOD task, which mainly consists of a dual-stream multi-receptive field module and a residual multi-mode interaction strategy. The former uses the well-designed different receptive...
AutoFocus, on the other hand, is an efficient multi-scaleinferencealgorithm for deep-learning based object detectors. Instead of processing an entire image pyramid, AutoFocus adopts a coarse to fine approach and only processes regions that are likely to contain small objects at finer scales. This ...
First, you need to specify variables in "inference.py" dirname: root folder of test images checkpoint: checkpoint file (trained on KonIQ-10k dataset) result_score_txt: inference score will be saved on this txt file After those settings, you can run the inference code by running "inference....
Accurate ecological inference requires that the scales of ecological processes, observations, and analyses align. Wider adoption of emerging analytical methods for identifying important scales of effect, though not traditional, and in some cases more computationally intensive, will broaden the scope for ...
Protein functions are characterized by interactions with proteins, drugs, and other biomolecules. Understanding these interactions is essential for deciphering the molecular mechanisms underlying biological processes and developing new therapeutic strategies. Current computational methods mostly predict interactions ...
SSD. It is a classical one-stage multi-box object detector, where a multi-scale feature detection strategy is built up to maintain high inference accuracy20. In SSD, the bounding boxes are assigned discretely with different aspect ratios and scales at each location in feature map. ...
Usually in most studies, the superposition of 2i−1×1 and 1×2i−1 asymmetric convolution replace standard convolution in order to improve the inference speed without reducing the representational power, as in Inception-V3 [42]. On the other hand, the use of 3 × 1, 1 × 3, and ...
Inference Model for Internet-of-Things DPFEE: A High Performance Scalable Pre-Processor for Network Security Systems A New Fluid-Chip Co-Design for Digital Microfluidic Biochips Considering Cost Drivers and Design Convergence A Monolithic 3D Hybrid Architecture for Energy-Efficient Computation Explore ...