Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018 - nachiket92/conv-social-pooling
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pooling or FC layers;\(g_{i}(\cdot )\)is an activation function, for example, sigmoid, tanh and rectified linear (ReLU) or more recently Leaky ReLU58; The symbol (\(\circle
convolutional layers, and the blue hashed outline is effectively a single-layer perceptron. In this architecture, convolutional outputs over a local area are reduced to a single value viasubsamplingorpooling, an operation designed to improve the model’s memory footprint and invariance to translations...
We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax normalization in spatial aggregation to enhance ...
このように、「Conv2Dだけ、DepthwiseConv2Dだけ、SeparableConv2Dだけ」の10層のモデルを計3パターン作ります。正確にはどのケースでも、Poolingの後に1x1のConv2Dを入れていますが、これはDepthwiseConv2Dがチャンネル数を増やすことができないための調整措置です。
15 Feb 2022·Jiachen Zhong,Junying Chen,Ajmal Mian· CNN architectures are generally heavy on memory and computational requirements which makes them infeasible for embedded systems with limited hardware resources. We propose dual convolutional kernels (DualConv) for constructing lightweight deep neural net...
of 155 passengers and crew members —and it wasn’t the founder, it was the person in the boat using the service, who first reported the incident in real-time for seeking help.” After this incident social media is being used to save and manage crises in different parts of the world. ...
Google's TensorFlow benchmarks are here! I've run the benchmarks on the Imagenet Winners. When I saw issues with the numbers, memory etc., I emailed @Yangqing to confirm what I'm seeing, and that it is expected. With that disclaimer out ...