全面
发表于 2025-3-23 10:56:00
https://doi.org/10.1007/978-3-322-90476-8ng visual information from the surroundings. Currently, many pre-trained models and pre-training tasks have been proposed to assist agents in navigating unfamiliar environments using visual and linguistic information. However, ensuring that the agent stops near the endpoint is a challenging problem.
Permanent
发表于 2025-3-23 15:09:54
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fluffy
发表于 2025-3-23 20:04:46
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Exonerate
发表于 2025-3-24 01:13:02
Fakultät für Architektur und Raumplanungnature of real-world scenarios where systems encounter unknown objects. Unlike existing OWOD approaches which often rely on manually selected unknown proposals, we introduce an Adaptive Semantic-Degrade Learning framework. This framework, inspired by cognitive development theory, guides the model to
glans-penis
发表于 2025-3-24 04:40:11
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山羊
发表于 2025-3-24 08:05:18
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任意
发表于 2025-3-24 14:17:13
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ARBOR
发表于 2025-3-24 15:05:11
Toward Efficient Deep Spiking Neuron Networks: A Survey on Compression and asynchronous computation. When deployed on neuromorphic chips, DSNNs offer significant power advantages over Deep Artificial Neural Networks (DANNs) and eliminate time and energy consuming multiplications due to the binary nature of spikes (0 or 1). Additionally, DSNNs excel in processing tempo
vocation
发表于 2025-3-24 22:21:35
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水土
发表于 2025-3-24 23:58:47
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