Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection
暂无分享,去创建一个
Xiaodan Liang | Zhenguo Li | Hang Xu | Chenhan Jiang | Liang Lin | Xiaodan Liang | Liang Lin | Zhenguo Li | Hang Xu | Chenhan Jiang
[1] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Serge J. Belongie,et al. Object categorization using co-occurrence, location and appearance , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Liang Lin,et al. Hybrid Knowledge Routed Modules for Large-scale Object Detection , 2018, NeurIPS.
[5] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Bo Dai,et al. Detecting Visual Relationships with Deep Relational Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Joshua B. Tenenbaum,et al. Learning to share visual appearance for multiclass object detection , 2011, CVPR 2011.
[9] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[10] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[11] Ernest Valveny,et al. Word Spotting and Recognition with Embedded Attributes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Thomas Brox,et al. Striving for Simplicity: The All Convolutional Net , 2014, ICLR.
[13] Abhinav Gupta,et al. The More You Know: Using Knowledge Graphs for Image Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Xinlei Chen,et al. Spatial Memory for Context Reasoning in Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Trevor Darrell,et al. LSDA: Large Scale Detection through Adaptation , 2014, NIPS.
[17] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Xiangyu Zhang,et al. DetNet: A Backbone network for Object Detection , 2018, ArXiv.
[20] Yichen Wei,et al. Relation Networks for Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[22] Di He,et al. FRAGE: Frequency-Agnostic Word Representation , 2018, NeurIPS.
[23] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[24] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[25] Martial Hebert,et al. From Red Wine to Red Tomato: Composition with Context , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[27] Xu Wei,et al. Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Lei Zhang,et al. CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Xinlei Chen,et al. Iterative Visual Reasoning Beyond Convolutions , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[30] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[32] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[33] Nuno Vasconcelos,et al. Cascade R-CNN: Delving Into High Quality Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Sanja Fidler,et al. The Role of Context for Object Detection and Semantic Segmentation in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Trevor Darrell,et al. Learning to Segment Every Thing , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[38] Bernt Schiele,et al. Learning Deep Representations of Fine-Grained Visual Descriptions , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[40] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Cordelia Schmid,et al. Label-Embedding for Attribute-Based Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Peng Wang,et al. Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[44] Wei Liu,et al. DSSD : Deconvolutional Single Shot Detector , 2017, ArXiv.
[45] Abhinav Gupta,et al. Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Nikos Komodakis,et al. Dynamic Few-Shot Visual Learning Without Forgetting , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[47] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Xiangyu Zhang,et al. Light-Head R-CNN: In Defense of Two-Stage Object Detector , 2017, ArXiv.
[49] Kristen Grauman,et al. Zero-shot recognition with unreliable attributes , 2014, NIPS.
[50] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.