赞
踩
论文 | 概要 |
---|---|
1.2D_3D Pose Estimation and Action Recognition Using Multitask Deep Learning 使用多任务深度学习的2D_3D姿势估计和动作识别 |
|
2.3D Human Pose Estimation in the Wild by Adversarial Learning 通过对抗性学习在野外进行3D人体姿势估计 |
|
3.3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism 孤独症儿童机器人辅助治疗中的3D人体感应,动作和情感识别 |
|
4.3D Object Detection With Latent Support Surfaces 具有潜在支撑面的3D对象检测 |
|
5.3D Pose Estimation and 3D Model Retrieval for Objects in the Wild 野外物体的3D姿势估计和3D模型检索 |
|
6.3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare 3D-RCNN:通过渲染和比较重建实例级3D对象 |
|
7.3D Registration of Curves and Surfaces Using Local Differential Information 使用局部微分信息进行曲线和曲面的3D配准 |
|
8.3D Semantic Segmentation With Submanifold Sparse Convolutional Networks 子流形稀疏卷积网络的3D语义分割 |
|
9.3D Semantic Trajectory Reconstruction From 3D Pixel Continuum 从3D像素连续体重建3D语义轨迹 |
|
10.4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications 4DFAB:用于面部表情分析和生物识别应用程序的大规模4D数据库 |
|
11.4D Human Body Correspondences From Panoramic Depth Maps 全景深度图的4D人体对应 |
|
12.A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping A2-RL:用于图像裁剪的美学意识增强学习 |
|
13.A Bi-Directional Message Passing Model for Salient Object Detection 显着目标检测的双向消息传递模型 |
|
14.A Biresolution Spectral Framework for Product Quantization 用于产品量化的双分辨率光谱框架 |
|
15.A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects 交互对象跟踪中可视性推理的因果图模型 |
|
16.Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective 基于“多个最佳”样本目标的序列的准确多样采样 |
|
17.A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem 非最小相对姿势问题的可证明的全局最优解 |
|
18.A Closer Look at Spatiotemporal Convolutions for Action Recognition 近距离观察时空卷积的动作识别 |
|
19.A Common Framework for Interactive Texture Transfer 交互式纹理传输的通用框架 |
|
20.A Constrained Deep Neural Network for Ordinal Regression 序数回归的约束深度神经网络 |
|
21.Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints 动作集:没有顺序约束的弱监督动作细分 |
|
22.Active Fixation Control to Predict Saccade Sequences 主动注视控制可预测扫视序列 |
|
23.Actor and Action Video Segmentation From a Sentence 句子中的演员和动作视频分割 |
|
24.Actor and Observer: Joint Modeling of First and Third-Person Videos 演员和观察员:第一人称和第三人称视频的联合建模 |
|
25.AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation AdaDepth:用于深度估计的无监督内容一致适应 |
|
26.A Deeper Look at Power Normalizations 深入了解功率归一化 |
|
27.Adversarial Complementary Learning for Weakly Supervised Object Localization 弱监督对象定位的对抗互补学习 |
|
28.Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data 对抗性数据编程:使用GAN缓解标签化数据的瓶颈 |
|
29.Adversarial Feature Augmentation for Unsupervised Domain Adaptation 无监督域自适应的对抗特征增强 |
|
30.Adversarially Learned One-Class Classifier for Novelty Detection 对抗性学习的一类分类器,用于新颖性检测 |
|
31.Adversarially Occluded Samples for Person Re-Identification 对抗性样本用于人员重新识别 |
|
32.A Face-to-Face Neural Conversation Model 面对面的神经对话模型 |
|
33.A Fast Resection-Intersection Method for the Known Rotation Problem 已知旋转问题的快速后方交集方法 |
|
34.A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts 一种从嘈杂文本中零接触学习的生成对抗方法 |
|
35.A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation 眼睛图像合成和眼睛注视估计的分层生成模型 |
|
36.A High-Quality Denoising Dataset for Smartphone Cameras 用于智能手机相机的高质量降噪数据集 |
|
37.A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping 用于色调映射的混合l1-l0层分解模型 |
|
38.Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation 对齐域希尔伯特希尔伯特空间中的无限维协方差矩阵的对齐 |
|
39.Alive Caricature From 2D to 3D 从2D到3D的生动漫画 |
|
40.A Low Power, High Throughput, Fully Event-Based Stereo System 低功耗,高吞吐量,完全基于事件的立体声系统 |
|
41.Alternating-Stereo VINS: Observability Analysis and Performance Evaluation 交替立体VINS:可观察性分析和性能评估 |
|
42.A Memory Network Approach for Story-Based Temporal Summarization of 360deg Videos 基于故事的360deg视频时间摘要的记忆网络方法 |
|
43.A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds 点云中二次元的类型不可知检测的极简方法 |
|
44.AMNet: Memorability Estimation With Attention AMNet:具有记忆力的评估 |
|
45.Analysis of Hand Segmentation in the Wild 野外手部分割分析 |
|
46.Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras 折反射相机中消失点和曲线的解析模型 |
|
47.Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input 高斯输入的PL-DNN概率矩的解析表达式 |
|
48.Analyzing Filters Toward Efficient ConvNet 分析面向高效ConvNet的过滤器 |
|
49.An Analysis of Scale Invariance in Object Detection SNIP 目标检测SNIP中尺度不变性的分析 |
|
50.Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation 卷积网络中无监督生物医学分割的解剖先验 |
论文 | 概要 |
---|---|
51.An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption 使用线性独立假设的混合比例估计的一种有效且可行的方法 |
|
52.An End-to-End TextSpotter With Explicit Alignment and Attention 具有明确对齐和注意力的端到端TextSpotter |
|
53.A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation 通过自动深度图像生成进行点云分类的网络架构 |
|
54.A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH) 神经多序列比对技术(NeuMATCH) |
|
55.Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB 利用自适应丢失和大规模事件数据库预测交通事故 |
|
56.An Unsupervised Learning Model for Deformable Medical Image Registration 可变形医学图像配准的无监督学习模型 |
|
57.AON: Towards Arbitrarily-Oriented Text Recognition AON:面向任意方向的文本识别 |
|
58.A Papier-Mache Approach to Learning 3D Surface Generation 学习3D曲面生成的Papier-Mache方法 |
|
59.A Perceptual Measure for Deep Single Image Camera Calibration 深度单像相机校准的感官测量 |
|
60.Aperture Supervision for Monocular Depth Estimation 用于单眼深度估计的光圈监控 |
|
61.A PID Controller Approach for Stochastic Optimization of Deep Networks 用于深度网络随机优化的PID控制器方法 |
|
62.A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking 具有扩展的跨邻域重新排列的姿势重新识别的姿势识别嵌入 |
|
63.Appearance-and-Relation Networks for Video Classification 视频分类的外观和关系网络 |
|
64.A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos 无约束视频中多面跟踪的一种先验减少方法 |
|
65.Arbitrary Style Transfer With Deep Feature Reshuffle 任意样式转移,具有深层功能重组 |
|
66.A Revised Underwater Image Formation Model 修订后的水下成像模型 |
|
67.Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning 你在跟我讲话吗?通过对抗学习进行合理的视觉对话生成 |
|
68.A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection 一种具有自动特征选择线的强力滚动快门效果校正的鲁棒方法 |
|
69.Art of Singular Vectors and Universal Adversarial Perturbations 奇异向量和普遍对抗性摄动的艺术 |
|
70.Attend and Interact: Higher-Order Object Interactions for Video Understanding 参加和交互:用于视频理解的高阶对象交互 |
|
71.Attentional ShapeContextNet for Point Cloud Recognition 注意ShapeContextNet用于点云识别 |
|
72.Attention-Aware Compositional Network for Person Re-Identification 用于人员重新识别的注意感知组成网络 |
|
73.Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification 注意力集群:基于纯粹注意力的视频分类局部特征集成 |
|
74.Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification 专注于时尚地标检测和服装类别分类的时尚语法网络 |
|
75.Attentive Generative Adversarial Network for Raindrop Removal From a Single Image 细心的生成对抗网络,用于从单个图像中去除雨滴 |
|
76.AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks AttnGAN:细化文本到带有注意生成对抗网络的图像生成 |
|
77.A Twofold Siamese Network for Real-Time Object Tracking 用于实时对象跟踪的双重连体网络 |
|
78.A Two-Step Disentanglement Method 两步解缠法 |
|
79.Audio to Body Dynamics 音频到人体动力学 |
|
80.Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation 基于深度的手部姿势估计的增强骨架空间传递 |
|
81.Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections 使用语义检测增强人群源3D重建 |
|
82.A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation 用于事件摄像机的统一对比度最大化框架,应用于运动,深度和光流估计 |
|
83.Automatic 3D Indoor Scene Modeling From Single Panorama 从单个全景图进行自动3D室内场景建模 |
|
84.AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions AVA:时空局部原子视觉动作的视频数据集 |
|
85.A Variational U-Net for Conditional Appearance and Shape Generation 用于条件外观和形状生成的变体U-网 |
|
86.Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration Avatar-Net:通过特征装饰进行多尺度零射击样式转移 |
|
87.A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos 语义快进第一人称视频的加权稀疏采样和平滑帧过渡方法 |
|
88.Baseline Desensitizing in Translation Averaging 平均翻译中的基线脱敏 |
|
89.Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions 在不断变化的条件下对6DOF户外视觉本地化进行基准测试 |
|
90.Between-Class Learning for Image Classification 课间学习进行图像分类 |
|
91.Beyond Grobner Bases: Basis Selection for Minimal Solvers Grobner基础之外:最小求解器的基础选择 |
|
92.Beyond Holistic Object Recognition: Enriching Image Understanding With Part States 超越整体物体识别:利用零件状态丰富图像理解 |
|
93.Beyond the Pixel-Wise Loss for Topology-Aware Delineation 超越像素明智的拓扑描述 |
|
94.Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy 权衡之外:高精度加速基于FCN的人脸检测器 |
|
95.Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning 具有上下文门控功能的双向注意力融合,用于密集视频字幕 |
|
96.Bidirectional Retrieval Made Simple 双向检索变得简单 |
|
97.Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation 双边序贯相关性多实例回归用于面部动作单位强度估计 |
|
98.Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning 像素明智的度量学习,实现了惊人的快速视频对象分割 |
|
99.Blind Predicting Similar Quality Map for Image Quality Assessment 盲预测相似质量图进行图像质量评估 |
|
100.BlockDrop: Dynamic Inference Paths in Residual Networks BlockDrop:残差网络中的动态推理路径 |
论文 | 概要 |
---|---|
101.Boosting Adversarial Attacks With Momentum 用动量来增强对抗性攻击 |
|
102.Boosting Domain Adaptation by Discovering Latent Domains 通过发现潜在域来促进域适应 |
|
103.Boosting Self-Supervised Learning via Knowledge Transfer 通过知识转移促进自我监督学习 |
|
104.Bootstrapping the Performance of Webly Supervised Semantic Segmentation 引导Webly监督的语义分割的性能 |
|
105.Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 自下而上和自上而下的注意力,用于图像字幕和视觉问题解答 |
|
106.Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion 边界流:无需运动训练就可以预测边界运动的暹罗网络 |
|
107.BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning BPGrad:通过分支和修剪在深度学习中实现全球最优 |
|
108.Burst Denoising With Kernel Prediction Networks 内核预测网络进行突发去噪 |
|
109.Camera Pose Estimation With Unknown Principal Point 主点未知的相机姿态估计 |
|
110.Camera Style Adaptation for Person Re-Identification 用于重新识别人的相机样式适应 |
|
111.Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? 时空3D CNN是否可以追溯2D CNN和ImageNet的历史? |
|
112.CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles CarFusion:结合点跟踪和零件检测用于车辆的动态3D重构 |
|
113.CartoonGAN: Generative Adversarial Networks for Photo Cartoonization CartoonGAN:用于照片卡通化的生成对抗网络 |
|
114.Cascaded Pyramid Network for Multi-Person Pose Estimation 用于多人姿势估计的级联金字塔网络 |
|
115.Cascade R-CNN: Delving Into High Quality Object Detection 级联R-CNN:深入研究高质量目标检测 |
|
116.Categorizing Concepts With Basic Level for Vision-to-Language 将基本概念归类为视觉到语言 |
|
117.CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation CBMV:用于视差估计的合并双向匹配量 |
|
118.Classification-Driven Dynamic Image Enhancement 分类驱动的动态图像增强 |
|
119.Classifier Learning With Prior Probabilities for Facial Action Unit Recognition 具有面部动作单元识别先验概率的分类器学习 |
|
120.ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions ClcNet:使用通道局部卷积提高卷积神经网络的效率 |
|
121.CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise CleanNet:带标签噪声的可扩展图像分类器培训的转移学习 |
|
122.CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition 清除:一键式一类图像识别的累积学习 |
|
123.Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria 使用皮肤科医生标准启发的表征进行临床皮肤病变诊断 |
|
124.CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CLIP-Q:通过并行修剪量化进行深度网络压缩学习 |
|
125.ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information ClusterNet:通过利用时空信息检测大型场景中的小物体 |
|
126.CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition 基于CNN的使用反射和Retinex模型进行内在图像分解的学习 |
|
127.CNN Driven Sparse Multi-Level B-Spline Image Registration CNN驱动的稀疏多级B样条图像配准 |
|
128.CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF MRF中的CNN:在基于CNN的高阶时空MRF中通过推理进行视频对象分割 |
|
129.COCO-Stuff: Thing and Stuff Classes in Context COCO-Stuff:上下文中的事物和事物类 |
|
130.CodeSLAM – Learning a Compact, Optimisable Representation for Dense Visual SLAM CodeSLAM-学习密集Visual SLAM的紧凑,可优化表示形式 |
|
131.Coding Kendall’s Shape Trajectories for 3D Action Recognition 编码Kendall的形状轨迹以进行3D动作识别 |
|
132.Collaborative and Adversarial Network for Unsupervised Domain Adaptation 无监督域自适应的协作和对抗网络 |
|
133.Compare and Contrast: Learning Prominent Visual Differences 比较和对比:学习明显的视觉差异 |
|
134.Compassionately Conservative Balanced Cuts for Image Segmentation 慷慨保守的平衡切割用于图像分割 |
|
135.Compressed Video Action Recognition 压缩视频动作识别 |
|
136.CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CondenseNet:使用学习的组卷积的高效DenseNet |
|
137.Conditional Generative Adversarial Network for Structured Domain Adaptation 结构化领域适应的条件生成对抗网络 |
|
138.Conditional Image-to-Image Translation 有条件的图像到图像翻译 |
|
139.Conditional Probability Models for Deep Image Compression 深度图像压缩的条件概率模型 |
|
140.Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images 将像素连接到隐私和实用程序:自动删除图像中的私人信息 |
|
141.Consensus Maximization for Semantic Region Correspondences 语义区域对应的共识最大化 |
|
142.Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds 通过视频流形上的统一镶嵌来对内容敏感的超级体素 |
|
143.Context-Aware Deep Feature Compression for High-Speed Visual Tracking 用于高速视觉跟踪的上下文感知深度特征压缩 |
|
144.Context-Aware Synthesis for Video Frame Interpolation 视频帧插值的上下文感知综合 |
|
145.Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation 用于场景分割的上下文对比特征和门控多尺度聚合 |
|
146.Context Embedding Networks 上下文嵌入网络 |
|
147.Context Encoding for Semantic Segmentation 用于语义分割的上下文编码 |
|
148.Continuous Relaxation of MAP Inference: A Nonconvex Perspective MAP推理的连续松弛:非凸视角 |
|
149.Controllable Video Generation With Sparse Trajectories 具有稀疏轨迹的可控视频生成 |
|
150.Convolutional Image Captioning 卷积图像字幕 |
论文 | 概要 |
---|---|
151.Convolutional Neural Networks With Alternately Updated Clique 具有交替更新的派系的卷积神经网络 |
|
152.Convolutional Sequence to Sequence Model for Human Dynamics 卷积序列到人类动力学序列模型 |
|
153.Correlation Tracking via Joint Discrimination and Reliability Learning 通过联合鉴别和可靠性学习进行关联跟踪 |
|
154.CosFace: Large Margin Cosine Loss for Deep Face Recognition CosFace:用于识别深脸的大余弦余弦损失 |
|
155.Coupled End-to-End Transfer Learning With Generalized Fisher Information 端到端迁移学习与广义Fisher信息相结合 |
|
156.Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning 通过深度强化学习制作用于图像还原的工具链 |
|
157.Creating Capsule Wardrobes From Fashion Images 从时尚形象创建胶囊衣柜 |
|
158.Cross-Dataset Adaptation for Visual Question Answering 跨数据集自适应以解决视觉问题 |
|
159.Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery 使用合成影像的跨域自我监督多任务特征学习 |
|
160.Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation 通过渐进域自适应进行跨域弱监督对象检测 |
|
161.Cross-Modal Deep Variational Hand Pose Estimation 跨模态深度变化手姿势估计 |
|
162.Cross-View Image Synthesis Using Conditional GANs 使用条件GAN的跨视图图像合成 |
|
163.Crowd Counting via Adversarial Cross-Scale Consistency Pursuit 通过对抗性跨尺度一致性追求进行人群计数 |
|
164.Crowd Counting With Deep Negative Correlation Learning 深度负相关学习的人群计数 |
|
165.CRRN: Multi-Scale Guided Concurrent Reflection Removal Network CRRN:多尺度引导并发反射去除网络 |
|
166.CSGNet: Neural Shape Parser for Constructive Solid Geometry CSGNet:用于构造实体几何的神经形状解析器 |
|
167.CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes CSRNet:扩展卷积神经网络,用于了解高度拥挤的场景 |
|
168.Cube Padding for Weakly-Supervised Saliency Prediction in 360deg Videos 360度视频中弱监督显着性预测的多维数据集填充 |
|
169.Curve Reconstruction via the Global Statistics of Natural Curves 通过自然曲线的整体统计量重建曲线 |
|
170.Customized Image Narrative Generation via Interactive Visual Question Generation and Answering 通过交互式视觉问题生成和回答定制的图像叙事生成 |
|
171.CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization CVM-Net:用于基于图像的地对空地理定位的跨视图匹配网络 |
|
172.DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks DA-GAN:深度注意生成对抗网络的实例级图像翻译 |
|
173.Data Distillation: Towards Omni-Supervised Learning 数据提炼:走向全监督学习 |
|
174.DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks DeblurGAN:使用条件对抗网络进行盲运动去模糊 |
|
175.DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation DecideNet:通过注意力指导的检测和密度估计计算不同的密度人群 |
|
176.Decorrelated Batch Normalization 装饰相关的批次标准化 |
|
177.Decoupled Networks 解耦网络 |
|
178.Deep Adversarial Metric Learning 深度对抗度量学习 |
|
179.Deep Adversarial Subspace Clustering 深度对抗子空间聚类 |
|
180.Deep Back-Projection Networks for Super-Resolution 深度背投网络可实现超高分辨率 |
|
181.Deep Cauchy Hashing for Hamming Space Retrieval 深层柯西散列用于汉明空间检索 |
|
182.Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift 深度鸡尾酒网络:具有类别转移的多源无监督域自适应 |
|
183.Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation 用于跨人口年龄估计的深度成本敏感和顺序保留特征学习 |
|
184.Deep Cross-Media Knowledge Transfer 深度跨媒体知识转移 |
|
185.Deep Density Clustering of Unconstrained Faces 无约束面孔的深度密度聚类 |
|
186.Deep Depth Completion of a Single RGB-D Image 单个RGB-D图像的深度完成 |
|
187.Deep Diffeomorphic Transformer Networks 深微形变压器网络 |
|
188.Deep End-to-End Time-of-Flight Imaging 深度端到端飞行时间成像 |
|
189.Deep Extreme Cut: From Extreme Points to Object Segmentation 深度极限切割:从极限点到对象分割 |
|
190.Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting 无需负迁移或灾难性遗忘的深脸检测器自适应 |
|
191.Deep Group-Shuffling Random Walk for Person Re-Identification 用于人员重新识别的深度群混洗随机游走 |
|
192.Deep Hashing via Discrepancy Minimization 通过差异最小化进行深度哈希 |
|
193.Deep Image |
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。