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The Devils in the Point Clouds: 研究点云卷的稳健性 (CS)
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
41940发布于 2021-01-22 - 来自专栏前行的CVer
单目标跟踪SOT常用评价指标
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。
1.4K10编辑于 2024-02-19 - 来自专栏我爱计算机视觉
NeurIPS 2021 | 视频分类鲁棒性新基准
▊ 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
52320编辑于 2022-01-20 - 来自专栏机器学习与生成对抗网络
ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）
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
70610发布于 2020-07-28 - 来自专栏图与推荐
AAAI2021 291页教程: Graph Neural Networks: Models and Applications
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
61220发布于 2021-02-24 - 来自专栏计算机视觉战队
CVPR佳作 | 用有噪声的学生网络进行自我训练提高ImageNet分类
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
69930发布于 2021-03-13 - 来自专栏自然语言处理
测试内容-A Comprehensive Survey on Retrieval-Augmented Large Language Models: Architectures, Application
integration, and counterfactual robustness (Chen et al., 2023). , negative rejection, and counterfactual robustness. Counterfactual robustness (handling false premises). , negative rejection, and counterfactual robustness. Robustness: Resilience against adversarial inputs or noisy data.
46500编辑于 2025-05-17 - 来自专栏机器学习与推荐算法
ICLR2023推荐系统论文整理
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
60420编辑于 2023-08-22 - 来自专栏新智元
深度学习顶会“无冕之王”ICLR 2018评审结果出炉，斯坦福大学对抗训练研究得分第一
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》。
1K70发布于 2018-03-21 - 来自专栏CreateAMind
最新Tractability易处理的因果推理
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
45130编辑于 2022-11-22 - 来自专栏计算机视觉战队
CVPR2020 | 用有噪声的学生网络进行自我训练提高ImageNet分类
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
1K20发布于 2020-04-14 - 来自专栏机器学习与推荐算法
论文周报 | 推荐系统领域最新研究进展，含SIGIR, KDD, ACL等顶会论文
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
77120编辑于 2023-08-22 - 来自专栏人工智能与演化计算成长与进阶
不完全免疫算法简介MOIA-DPS--AIS学习笔记4
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
55210发布于 2020-08-14 - 来自专栏Dechin的专栏
C++基础——文件逐行读取与字符匹配
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
2.1K30发布于 2021-05-21 - 来自专栏机器学习、深度学习
人脸对齐--Robust face landmark estimation under occlusion
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 ?
99130发布于 2019-05-26 - 来自专栏杨丝儿的小站
MOB LEC4 Image Feature Matching
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
34710编辑于 2022-11-10 - 来自专栏AI SPPECH
109_噪声鲁棒微调：对抗训练
": robustness } # 运行鲁棒性测试 # results = test_adversarial_robustness(mixed_trainer, tokenized_datasets 计算公式：Robustness Gap = 干净样本指标 - 对抗样本指标 百分比形式：Robustness Gap % = (干净样本指标 - 对抗样本指标) / 干净样本指标 * 100% " in results["robustness_metrics"]: performance_drop = abs(results["robustness_metrics"][ ["robustness_metrics"].get("loss_robustness", 0) if robustness_score > best_robustness: best_robustness = robustness_score best_epsilon
32710编辑于 2025-11-16 - 来自专栏AI算法与图像处理
论文/代码速递2022.11.30！
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
54030编辑于 2022-12-11 - 来自专栏人工智能前沿讲习
【论文推荐】了解《对抗学习》必看的6篇论文（附打包下载地址）
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
44120编辑于 2022-04-11 - 来自专栏专知
【论文推荐】最新六篇目标跟踪相关论文—双重Siamese网络、判别性相关滤波、多目标跟踪、深度多尺度时空判别性、综述、显著性增强
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
1.7K80发布于 2018-04-16
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