is imperative to study the generalization of the convolution networks more closely, especially their robustness...investigates different variants of PointConv, a convolution network on point clouds, to examine their robustness...Results reveal that on 2D, using third degree polynomials greatly improves PointConv's robustness to...datasets, the novel viewpoint-invariant descriptor significantly improves the performance as well as robustness
可以分为:temporal robustness evaluation (TRE) 和 spatial robustness evaluation (SRE)。...Temporal robustness evaluation:Each tracking algorithm is evaluated numerous times from different starting...Spatial robustness evaluation: To evaluate whether a tracking method is sensitive to initialization errors...Spatial robustness evaluation with restart (SRER)。同理。
▊ 文章信息 标题:Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions 论文链接:https://openreview.net...id=MQlMIrm3Hv5 项目链接:https://github.com/Newbeeyoung/Video-Corruption-Robustness ▊ 1....计算机视觉模型在这种环境中面对扰动的可维持性即是对常见噪声和扰动的鲁棒性(Common Corruption Robustness)。...3)模型的鲁棒性(Robustness),泛化性(Generalization)和效率(Efficiency)是否有冲突?...作为视频分析中一个新的维度,扰动鲁棒性(Common Corruption Robustness)还有巨大的空间值得我们去研究和提高。 END
for Test-Time Generalization in Few-Shot learning Oral 3047 Multi-task Learning Increases Adversarial Robustness...Attack Poster 5291 Efficient Adversarial Attacks for Visual Object Tracking Poster 5331 Adversarial Robustness...Poster 5573 Multi-Source Open-Set Deep Adversarial Domain Adaptation Poster 5686 Improving Adversarial Robustness...Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds Poster 6748 Inherent Adversarial Robustness
and interesting topics, including representation learning on graph structured data using GNNs, the robustness...layers Spatial-based GNN layers Pooling Schemes for Graph-level Representation Learning Attacks and Robustness
Noisy Student leads to significant improvements across all model sizes for EfficientNet Robustness results...Robustness results on ImageNet-C ? Robustness results on ImageNet-P ? ?...Selected images from robustness benchmarks ImageNet-A, C and P 使用EfficientNet-B5作为老师模型,研究了两个不同数量的未标记图像和不同的增强的案例
目前,来自斯坦福大学探讨对抗训练的论文Certifiable Distributional Robustness with Principled Adversarial Training排名第一。...论文评分方差 得分最高的十篇论文 | Ranking | Rating | Title | | 9.00 | Certifiable Distributional Robustness with...现在得分最高的论文是 《Certifiable Distributional Robustness with Principled Adversarial Training》。
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions Benjie Wang∗, Clare...Lyle∗and Marta Kwiatkowska University of Oxford benjie.wang@cs.ox.ac.uk Abstract Robustness of decision...We consider causal Bayesian networks and formally define the interventional robustness problem, a novel...model-based notion of robustness for decision functions that measures worst-case performance with respect...provide efficient algorithms for computing guaranteed upper and lower bounds on the interventional robustness
graph contrastive learning paradigm LightGCL that mitigates these issues impairing the generality and robustness...Further analyses demonstrate the superiority of LightGCL's robustness against data sparsity and popularity...To address the above limitations while retaining double robustness, we propose a stabilized doubly robust...debiasing tasks, the doubly robust (DR) method and its variants show superior performance due to the double robustness
Learning 论文/Paper: http://arxiv.org/pdf/2211.16412 代码/Code: https://github.com/mbaradad/shaders21k Robustness...Disparities in Face Detection 论文/Paper: http://arxiv.org/pdf/2211.15937 代码/Code: https://github.com/dooleys/robustness
regressors 不能够对 outliers 给出一个系统的解决方案,我们提出了一个 Robust Cascaded Pose Regression (RCPR) 来解决这些问题 3.2.1 Robustness...3.2.2 Robustness to shape variations Interpolated shape-indexed features ?
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors 5....Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors Dongning...This paper presents the first systematic study of DRS robustness against hardware errors....We evaluate a wide range of models and datasets and observe that the DRS robustness against hardware...We hope our work will inspire further research on streaming CTR prediction and help improve the robustness
Moreover, in order to further enhance the robustness of MOIADPS, we present an effective DE operator...mutation operator with two search models (TDE) is designed to enhance the exploration capability and the robustness...A new DE mutation operator, called TDE, is executed on the mating population to enhance the robustness
mindspore.nn.probability mindspore.ops mindspore.profiler mindspore.train MindArmour Python API mindarmour mindarmour.adv_robustness.attacks...mindarmour.adv_robustness.defenses mindarmour.adv_robustness.detectors mindarmour.adv_robustness.evaluations
aim to extensively review the latest trends and advances in the tracking algorithms and evaluate the robustness...In the second part of this work, we experimentally evaluate tracking algorithms for robustness in the...presence of noise as under noise-free conditions; thus, there is a need to include a parameter for robustness...argue that including semantically higher level information to the tracked features may provide further robustness
05 Adversarial Robustness vs. Model Compression, or Both? [Shaokai Ye, et al.]...06 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision
effective feature descriptor should have the following characteristics: Repeatability: manifested as robustness...is usually compute on rotated and scaled versions of the 16 x 16 window, allowing for better scale robustness
从纯 Transformer 到 Transformer 和 CNN 的显式隐式杂交,各个任务仿佛嗷嗷待哺的婴儿,等着 Transformer 奶一口,这自然让人好奇 Transformer 的稳健性(Robustness...Understanding Robustness of Transformers for Image Classification. arXiv:2103.14586 ?...On the Adversarial Robustness of Visual Transformers. arXiv:2103.15670 ? 这篇论文最吸引人的地方是开篇的第一幅图: ?
For me, three important categories could be: humans as robustness, humans as value, and humans as benefactors...Humans as robustness The first benefit to including people in systems is perhaps the one most linked...to the mindset of performance measures; humans as robustness.
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