作者: 溝通 時間: 2025-3-21 21:42
Transforming and Projecting Images into Class-Conditional Generative Networks,for transformation to counteract the model biases in generative neural networks. Specifically, we demonstrate that one can solve for image translation, scale, and global color transformation, during the projection optimization to address the object-center bias and color bias of a Generative Adversar作者: Genteel 時間: 2025-3-22 00:51 作者: 安心地散步 時間: 2025-3-22 05:05 作者: Supplement 時間: 2025-3-22 11:57
Post-training Piecewise Linear Quantization for Deep Neural Networks,n is highly desirable since it does not require retraining or access to the full training dataset. The well-established uniform scheme for post-training quantization achieves satisfactory results by converting neural networks from full-precision to 8-bit fixed-point integers. However, it suffers fro作者: Insensate 時間: 2025-3-22 13:51 作者: Insensate 時間: 2025-3-22 20:16 作者: Apoptosis 時間: 2025-3-22 22:08
Self-challenging Improves Cross-Domain Generalization,sting data are under similar distributions, their dominant features are similar, leading to decent test performance.The performance is nonetheless unmet when tested with different distributions, leading to the challenges in cross-domain image classification. We introduce a simple training heuristic,作者: 緯線 時間: 2025-3-23 03:35
,A Competence-Aware Curriculum for?Visual Concepts Learning via Question Answering,rriculum for visual concept learning in a question-answering manner. Specifically, we design a neural-symbolic concept learner for learning the visual concepts and a multi-dimensional Item Response Theory (mIRT) model for guiding the learning process with an adaptive curriculum. The mIRT effectively作者: 不要嚴酷 時間: 2025-3-23 09:23
Multitask Learning Strengthens Adversarial Robustness,tible input perturbations fool the network. We present both theoretical and empirical analyses that connect the adversarial robustness of a model to the number of tasks that it is trained on. Experiments on two datasets show that attack difficulty increases as the number of target tasks increase. Mo作者: nauseate 時間: 2025-3-23 09:47 作者: single 時間: 2025-3-23 14:35 作者: PHIL 時間: 2025-3-23 18:14
Appearance-Preserving 3D Convolution for Video-Based Person Re-identification,tion (ReID). In this case, 3D convolution may destroy the appearance representation of person video clips, thus it is harmful to ReID. To address this problem, we propose Appearance-Preserving 3D Convolution (AP3D), which is composed of two components: an Appearance-Preserving Module (APM) and a 3D 作者: 喧鬧 時間: 2025-3-24 00:52 作者: 拋媚眼 時間: 2025-3-24 04:18
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation,-level image statistics, there are still gaps toward an image prior that captures rich image semantics including color, spatial coherence, textures, and high-level concepts. This work presents an effective way to exploit the image prior captured by a generative adversarial network (GAN) trained on l作者: 彩色的蠟筆 時間: 2025-3-24 08:51
Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Aperturesements that are further decoded by reconstruction algorithms. The bottleneck lies in the reconstruction algorithms, resulting in rather limited reconstruction quality. To tackle this challenge, we propose a novel learning-based framework for the reconstruction of high-quality LFs from acquisitions v作者: 調味品 時間: 2025-3-24 11:33 作者: 嚴厲譴責 時間: 2025-3-24 18:26
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction,aces that are not controllable, which provides limited ability to modify the resulting model by editing its pose or shape parameters. Nevertheless, such features are essential in building flexible models for both computer graphics and computer vision. In this work, we present methodology that combin作者: 障礙 時間: 2025-3-24 20:47 作者: 不知疲倦 時間: 2025-3-25 02:29 作者: Heresy 時間: 2025-3-25 04:30 作者: Processes 時間: 2025-3-25 09:39
Transforming and Projecting Images into Class-Conditional Generative Networks,escribe a hybrid optimization strategy that finds good projections by estimating transformations and class parameters. We show the effectiveness of our method on real images and further demonstrate how the corresponding projections lead to better editability of these images. The project page and the code is available at ..作者: 英寸 時間: 2025-3-25 13:32
Conference proceedings 2020n, 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 deal with top作者: corpuscle 時間: 2025-3-25 16:18 作者: 演講 時間: 2025-3-25 22:30 作者: Postmenopause 時間: 2025-3-26 03:21 作者: 逗留 時間: 2025-3-26 06:59
0302-9743 processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.978-3-030-58535-8978-3-030-58536-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 放縱 時間: 2025-3-26 10:22
https://doi.org/10.1007/978-3-319-24237-8e curriculum, the proposed method achieves state-of-the-art performances with superior data efficiency and convergence speed. Specifically, the proposed model only uses . and converges . compared with other state-of-the-art methods.作者: 啞巴 時間: 2025-3-26 13:47 作者: Chivalrous 時間: 2025-3-26 20:02
https://doi.org/10.1007/978-3-319-24237-8We make use of recent results in differentiating optimization problems to incorporate geometric model fitting into an end-to-end learning framework, including Sinkhorn, RANSAC and PnP algorithms. Our proposed approach significantly outperforms other methods on synthetic and real data.作者: 漂泊 時間: 2025-3-26 20:56 作者: Gratulate 時間: 2025-3-27 01:32
Appearance-Preserving 3D Convolution for Video-Based Person Re-identification,nvolution kernels with AP3Ds. Extensive experiments demonstrate the effectiveness of AP3D for video-based ReID and the results on three widely used datasets surpass the state-of-the-arts. Code is available at: ..作者: CHAR 時間: 2025-3-27 07:57
Solving the Blind Perspective-n-Point Problem End-to-End with Robust Differentiable Geometric OptimWe make use of recent results in differentiating optimization problems to incorporate geometric model fitting into an end-to-end learning framework, including Sinkhorn, RANSAC and PnP algorithms. Our proposed approach significantly outperforms other methods on synthetic and real data.作者: inspired 時間: 2025-3-27 09:28
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 dea作者: 翻布尋找 時間: 2025-3-27 14:23 作者: STYX 時間: 2025-3-27 18:28
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234208.jpg作者: Opponent 時間: 2025-3-27 23:34
https://doi.org/10.1007/978-3-030-58536-5computer vision; data security; education; image coding; image processing; image reconstruction; learning; 作者: medium 時間: 2025-3-28 03:32
978-3-030-58535-8Springer Nature Switzerland AG 2020作者: conformity 時間: 2025-3-28 06:38 作者: 眼界 時間: 2025-3-28 10:57 作者: integrated 時間: 2025-3-28 16:09 作者: 關節(jié)炎 時間: 2025-3-28 18:45
The Eastern Arctic Seas Encyclopediapractical applications such as autonomous exploration and decision making. Inspired by industrial demands, we first propose a novel translation-invariant visual memory for recalling and identifying interesting scenes, then design a three-stage architecture of long-term, short-term, and online learni作者: 債務 時間: 2025-3-29 00:13
Andreev, Alexander Ignatyevich (1887–1959)n is highly desirable since it does not require retraining or access to the full training dataset. The well-established uniform scheme for post-training quantization achieves satisfactory results by converting neural networks from full-precision to 8-bit fixed-point integers. However, it suffers fro作者: 廚師 時間: 2025-3-29 03:44 作者: 自傳 時間: 2025-3-29 07:19 作者: SOB 時間: 2025-3-29 13:19 作者: ingrate 時間: 2025-3-29 19:25 作者: deforestation 時間: 2025-3-29 20:07 作者: 傲慢物 時間: 2025-3-30 00:43 作者: 寬敞 時間: 2025-3-30 06:38
The Eastern Arctic Seas Encyclopediaambiguity and self-occlusion in a single view prohibit the recovery of as high-quality motion as multi-view reconstruction. While multi-view videos are not common, the videos of a celebrity performing a specific action are usually abundant on the Internet. Even if these videos were recorded at diffe作者: cogent 時間: 2025-3-30 11:58 作者: 制定 時間: 2025-3-30 14:15
https://doi.org/10.1007/978-3-319-24237-8D scene points, without prior knowledge of the 2D–3D correspondences. Solving for pose and correspondences simultaneously is extremely challenging since the search space is very large. Fortunately it is a coupled problem: the pose can be found easily given the correspondences and vice versa. Existin作者: GLADE 時間: 2025-3-30 19:27
https://doi.org/10.1007/978-3-319-24237-8-level image statistics, there are still gaps toward an image prior that captures rich image semantics including color, spatial coherence, textures, and high-level concepts. This work presents an effective way to exploit the image prior captured by a generative adversarial network (GAN) trained on l作者: Small-Intestine 時間: 2025-3-31 00:13
The Eastern Arctic Seas Encyclopediaements that are further decoded by reconstruction algorithms. The bottleneck lies in the reconstruction algorithms, resulting in rather limited reconstruction quality. To tackle this challenge, we propose a novel learning-based framework for the reconstruction of high-quality LFs from acquisitions v作者: Defiance 時間: 2025-3-31 03:34
The Eastern Arctic Seas Encyclopediancy (RF) measuring, are playing more and more important roles under the application scenarios where contact measurement is inconvenient or impossible. Since the amplitude of the physiological signals is very small, they can be easily affected by head movements, lighting conditions, and sensor divers作者: apiary 時間: 2025-3-31 08:24
The Eastern Arctic Seas Encyclopediaaces that are not controllable, which provides limited ability to modify the resulting model by editing its pose or shape parameters. Nevertheless, such features are essential in building flexible models for both computer graphics and computer vision. In this work, we present methodology that combin作者: lanugo 時間: 2025-3-31 10:08
The East India Company and the Natural Worldlow cost beyond the visible spectrum, and high energy efficiency when used with line illumination. Thus, our system is able to achieve high-speed and high-accuracy 2D positioning of light sources and 3D scanning of scenes.作者: genesis 時間: 2025-3-31 16:31
Andreev, Alexander Ignatyevich (1887–1959)e proposed “Fold” operation (Fold-ASPP) to accurately localize salient objects of various scales. Extensive experiments on five challenging datasets demonstrate that the proposed model performs favorably against most state-of-the-art methods under different evaluation metrics.作者: Substitution 時間: 2025-3-31 20:34
Andreev, Alexander Ignatyevich (1887–1959)ls. Optimal breakpoints that divide the entire range are found by minimizing the quantization error. Compared to state-of-the-art post-training quantization methods, experimental results show that our proposed method achieves superior performance on image classification, semantic segmentation, and o作者: 上釉彩 時間: 2025-3-31 23:17
https://doi.org/10.1007/978-3-319-24237-8d two separate structure spaces, and an adaptation module that performs adversarial alignment and self-training on the shared appearance space. The two modules are co-designed to be mutually beneficial. Extensive experiments demonstrate that the proposed joint learning framework outperforms the stat作者: MIME 時間: 2025-4-1 01:51 作者: 含糊 時間: 2025-4-1 08:51
The Eastern Arctic Seas Encyclopediatra network parameters. We present the theoretical properties and conditions of RSC for improving cross-domain generalization. The experiments endorse the simple, effective, and architecture-agnostic nature of our RSC method.作者: 對手 時間: 2025-4-1 11:28 作者: Fester 時間: 2025-4-1 17:03 作者: ARY 時間: 2025-4-1 21:46
https://doi.org/10.1007/978-3-319-24237-8 Notably, we allow the generator to be fine-tuned on-the-fly in a progressive manner regularized by feature distance obtained by the discriminator in GAN. We show that these easy-to-implement and practical changes help preserve the reconstruction to remain in the manifold of nature image, and thus l作者: Abbreviate 時間: 2025-4-1 23:32
The Eastern Arctic Seas Encyclopediasively explore the signal distribution free from the limited representation ability and inefficiency of deterministic mathematical modeling. Experimental results show that the reconstructed LFs not only achieve much higher PSNR/SSIM but also preserve the LF parallax structure better, compared with s作者: Integrate 時間: 2025-4-2 04:56
The Eastern Arctic Seas Encyclopediast of the temporal characteristics of the periodic physiological signals. Then we take pairwise MSTmaps as inputs to an autoencoder architecture with two encoders (one for physiological signals and the other for non-physiological information) and use a cross-verified scheme to obtain physiological f作者: GRACE 時間: 2025-4-2 07:51 作者: 帶子 時間: 2025-4-2 12:44 作者: 帶傷害 時間: 2025-4-2 16:27
Suppress and Balance: A Simple Gated Network for Salient Object Detection,e proposed “Fold” operation (Fold-ASPP) to accurately localize salient objects of various scales. Extensive experiments on five challenging datasets demonstrate that the proposed model performs favorably against most state-of-the-art methods under different evaluation metrics.
