Inspired by the structure of RFs in the human visual system, this paper proposes a novel module, namely Receptive Field Block (RFB), to strengthen the deep features learned from lightweight CNN models so that they can contribute to fast and accurate detectors. Specifically, RFB makes use of ...
receptive field. Its effect may be to increase or decrease the frequency of firing of the cell. This is symbolized in the diagrams infig. 3.9by the ‘+’ or ‘–’ in the center of the receptive field. The region encircling the center, known as the “surround” provides an antagonistic...
There are numerous convolution blocks based on local fusion, such as SPP Module (He et al., 2015), ASPP (Chen et al., 2017b), Receptive Field Block (Liu et al., 2018), PPM (Zhao et al., 2017a), and so on. Compared to local fusion, global fusion emphasizes the fusion of deep...
Pooling Revisited: Your Receptive Field is Suboptimal Dong-Hwan Jang1 Sanghyeok Chu1 Joonhyuk Kim1 Bohyung Han1,2 1ECE & 1ASRI & 2IPAI, Seoul National University {jh01120, sanghyeok.chu, kjh42551, bhhan}@snu.ac.kr Abstract The size and shape of the receptive field determine ...
As such, also described herein is receptive-field-conforming convolutional models for video coding. That is, when analyzing an image region, such as for determining a quadtree partitioning, the receptive fields of any features extracted (e.g., calculated, inferred, etc.) for the image region ar...
derivative of the hip ellipsoid yaw (when the animal is running counterclockwise, e.g., along the edge of the arena, such that the contralateral whisker field is brushing against the arena wall or other obstacles). Across the population, we found that the neurons overwhelmingly encoded whisker ...
Next, the application waits until the user moves the cursor into a certain area of the field, the hotspot, and pushes on the pointing mechanism, such as a mouse, the right action button down (button1Down). If this has occurred, the application proceeds by changing the display from the ...
In the following parts, we will introduce the network from three aspects: (1) Multi-Feature Pyramid Module; (2) Receptive Field Block; (3) Double-Check Detection Network Module. Figure 2. Architecture of MFPNet. 3.1. Multi-Feature Pyramid Module Since the scale of objects in the ORSIs ...
The network is composed of several repeated units, each unit including an RFS convolutional module and an RFS attention module. Figure 1. Overall diagram of our proposed method for two tasks: classification and shape part segmentation. RFS Conv stands for receptive field space convolution, RFSA ...
layer. The CSP module is a modification to the dense block that provides more efficient computation of gradients. We also evaluate fusing the deeper, lower resolution feature maps of the 105 receptive field prediction head with the features of the earlier higher-resolution prediction head using an...