预防注射 发表于 2025-3-23 10:17:25
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing,as a discrete dynamical system. Finally, the implementation of RK-CCSNet achieves state-of-the-art performance on influential benchmarks with respect to prestigious baselines, and all the codes are available at ..尖 发表于 2025-3-23 16:51:23
Deep Hough Transform for Semantic Line Detection,o spotting individual points in the parametric domain, making the post-processing steps, .non-maximal suppression, more efficient. Furthermore, our method makes it easy to extract contextual line features, that are critical to accurate line detection. Experimental results on a public dataset demonstPeak-Bone-Mass 发表于 2025-3-23 19:55:48
Structured Landmark Detection via Topology-Adapting Deep Graph Learning,te-of-the-art approaches across all studied datasets indicating the superior performance in both robustness and accuracy. Qualitative visualizations of the learned graph topologies demonstrate a physically plausible connectivity laying behind the landmarks.optional 发表于 2025-3-24 02:02:20
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning,mpractical in many realistic applications..To address the above issues, this paper proposes a novel algorithm called RSC-Net, which consists of a Resolution-aware network, a Self-supervision loss, and a Contrastive learning scheme. The proposed network is able to learn the 3D body shape and pose acrBILK 发表于 2025-3-24 04:47:18
http://reply.papertrans.cn/24/2343/234221/234221_15.png懦夫 发表于 2025-3-24 10:00:40
The Econometrics of Demand Systemshus constraining the search only in the feasible domain. In addition, a differentiable Prob-1 regularizer is proposed to ensure learning with NAS is reasonable. A distribution reshaping training strategy is also used to make training more stable. BP-NAS sets new state of the arts on both classificat审问 发表于 2025-3-24 12:54:04
The Importance of Socioeconomic Variablesly coherent talking-head videos with natural head movements. Thoughtful experiments on several standard benchmarks demonstrate that our method achieves significantly better results than the state-of-the-art methods in both quantitative and qualitative comparisons. The code is available on ..BAIL 发表于 2025-3-24 16:22:24
The Econometrics of Demand Systemshe relative-pose in a prior distribution. In various applications, we demonstrate that our model can achieve comparable or even better results than pose/3D model-supervised learning-based novel view synthesis (NVS) methods with any number of input views.CAGE 发表于 2025-3-24 21:54:48
The Econometrics of Demand Systemsrnable pose backbone exploiting the topology of human body, and (ii) a coupler to provide joint spatio-temporal attention weights across a video. Experiments (Code/models: .) show that VPN outperforms the state-of-the-art results for action classification on a large scale human activity dataset: .,下边深陷 发表于 2025-3-24 23:43:30
https://doi.org/10.1057/9780230626317evels, respectively. To evaluate the effectiveness, we train a single-stage anchor-free detector called Soft Anchor-Point Detector (SAPD). Experiments show that our concise SAPD pushes the envelope of speed/accuracy trade-off to a new level, outperforming recent state-of-the-art anchor-free and anch