Cantankerous 发表于 2025-3-28 18:11:29
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http://reply.papertrans.cn/24/2342/234130/234130_42.pngARCH 发表于 2025-3-29 00:40:34
Juan C. Pastor,James Meindl,Raymond Hunt and large haze density variations. In this work, we aim to jointly solve the image dehazing and the object detection tasks in real hazy scenarios by using haze density as prior knowledge. Our proposed .nified .ehazing a.d .etection (UDnD) framework consists of three parts: a residual-aware haze denBanquet 发表于 2025-3-29 05:26:50
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Where does Management Knowledge come from? notion of attention: how to decide what to describe and in which order. Inspired by the successes in text analysis and translation, previous works have proposed the . architecture for image captioning. However, the structure between the . in images (usually the detected regions from object detectio灯丝 发表于 2025-3-29 14:01:24
https://doi.org/10.1007/978-3-642-51559-0some limitations in modern networks, where the magnitude of parameters can vary independently of the importance of corresponding channels. To recognize redundancies more accurately and therefore, accelerate networks better, we propose a novel channel pruning criterion based on the Pearson correlatioopalescence 发表于 2025-3-29 17:12:54
The Diffusion of Electronic Data Interchangectly natural for humans, the same task has proven to be challenging for learning machines. Deep neural networks are still prone to catastrophic forgetting of previously learnt information when presented with information from a sufficiently new distribution. To address this problem, we present NeoNetVaginismus 发表于 2025-3-29 20:50:31
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http://reply.papertrans.cn/24/2342/234130/234130_49.pngKeratin 发表于 2025-3-30 04:05:03
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