CVPR 2018 值得关注的论文

最新推荐文章于 2024-10-17 12:25:05 发布

斡艾汀余

最新推荐文章于 2024-10-17 12:25:05 发布

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分类专栏： Deep Learning 文章标签： Computer Vision

本文链接：https://blog.youkuaiyun.com/lry_xueshu/article/details/83240942

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本文探讨了深度学习领域的多项先进技术，包括图匹配的深度学习、基于排名的损失函数优化、深层聚合、关系网络用于目标检测、深度对抗度量学习等。文章还涉及了视觉问答与图像描述、视觉问题生成、图像与句子匹配的概念学习、Squeeze-and-Excitation网络、神经婴儿语等创新研究。此外，还讨论了图像生成、场景几何与语义的多任务学习、情感注意力、弱监督耦合网络、距离度量学习、上下文嵌入网络等。

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Deep Learning of Graph Matching
Efficient Optimization for Rank-Based Loss Functions
Deep Layer Aggregation
Relation Networks for Object Detection
Deep Adversarial Metric Learning
Link and Code: Fast Indexing With Graphs and Compact Regression Codes
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Visual Question Generation as Dual Task of Visual Question Answering
Learning Semantic Concepts and Order for Image and Sentence Matching
Squeeze-and-Excitation Networks
Neural Baby Talk
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Emotional Attention: A Study of Image Sentiment and Visual Attention
Weakly Supervised Coupled Networks for Visual Sentiment Analysis
Large-Scale Distance Metric Learning With Uncertainty
Context Embedding Networks
Iterative Learning With Open-Set Noisy Labels
Interleaved Structured Sparse Convolutional Neural Networks
VITAL: VIsual Tracking via Adversarial Learning
Detail-Preserving Pooling in Deep Networks
Deep Mutual Learning
Image Generation From Scene Graphs