ostensible 发表于 2025-3-27 00:13:58
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Backpropagated Gradient Representations for Anomaly Detection,in benchmark image recognition datasets. Also, we highlight the computational efficiency and the simplicity of the proposed method in comparison with other state-of-the-art methods relying on adversarial networks or autoregressive models, which require at least 27 times more model parameters than the proposed method.细微的差异 发表于 2025-3-27 05:48:12
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0302-9743 uter Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deaWatemelon 发表于 2025-3-27 16:35:56
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http://reply.papertrans.cn/24/2343/234232/234232_37.png原来 发表于 2025-3-28 02:12:03
DSDNet: Deep Structured Self-driving Network, a safe maneuver by using a structured planning cost. Our sample-based formulation allows us to overcome the difficulty in probabilistic inference of continuous random variables. Experiments on a number of large-scale self driving datasets demonstrate that our model significantly outperforms the state-of-the-art.简略 发表于 2025-3-28 10:06:15
Dense RepPoints: Representing Visual Objects with Dense Point Sets,mbined with set-to-set supervision. The distance transform sampling combines the strengths of contour and grid representations, leading to performance that surpasses counterparts based on contours or grids. Code is available at ..hypnotic 发表于 2025-3-28 12:17:39
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