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4 days ago · Object context pooling is derived from the self-attention mechanism, EMANet [20], CCNet [21], end-to-end instance segmentation with recurrent attention [22], a ...
4 days ago · In this paper, we survey the development of skip connections in deep neural networks for computer vision, discuss their effectiveness, and explore future ...
7 days ago · In this paper, we propose to design a cross-layer interaction injection mechanism for the shortcomings of Transformer structure in capturing multi-level patch ...
Missing: object | Show results with:object
4 days ago · This study proposes a YOLOv8-Improved network integrated with the ByteTrack tracking algorithm to achieve multi-object detection and 3D positioning of flowering ...
Missing: Recurrent | Show results with:Recurrent
2 days ago · The authors suggest modification of the recurrent neural network (RNN) architecture for dynamic and flexible application of decision rules in order to model ...
3 days ago · A mixed masked image is generated and embedded into a knowledge distillation network by replacing one image's visible marker with another's masked marker.
16 hours ago · SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation ... TANet: Triplet Attention Network for All-In-One Adverse Weather Image ...
7 days ago · Point cloud processing using deep learning methods has gained a lot of attention. Point clouds are a set of data points in space to display 3D geometry. They ...
Missing: object | Show results with:object
4 days ago · One or more end-to-end scene-rendering pipelines that can be used both for visually inspecting synthe- sised gestures on a skinned 3D humanoid mesh during model ...
10 hours ago · In order to accomplish this in this survey, we reviewed Convolutional Neural. Networks (CNNs), Recurrent Neural Networks (RNNs), and other deep learning-based ...