The overall detection framework is shown below. (1) Transformation-equivariant Sparse Convolution (TeSpConv) backbone; (2) Transformation-equivariant Bird Eye View (TeBEV) pooling; (3) Multi-grid ...
Attempts to structurally transform segments of the agri-food system inevitably involve trade-offs between the priorities of actors with different incentives, perspectives and values. Trade-offs are ...
Abstract: In this paper we propose to use a feature map transformation network for the task of monocular 3D object detection. Given a monocular camera image, the transformation network encodes ...
Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
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Quick tutorial - How to create objects transformation effect using quick explode in Blender - 222
Turn object into pieces and then combine them into other object. Using Quick Explode Modifier. This is a Quick Blender tip Timestamp 00:00 Introduction 00:14 Create Objects 01:01 Quick Explode 01:50 ...
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