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Keyword

MS COCO

Description: MS COCO is a large-scale image dataset used to train and evaluate computer vision systems, including object detection and image-text retrieval.
Wikidata ID: wiki/Q30337044
OpenAlex ID: keywords/ms-coco
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2016 · Shaoqing Ren, Kaiming He, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 70,687
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YOLOv4: Optimal Speed and Accuracy of Object Detection
2020 · Bochkovskiy, Alexey, Wang, Chien-Yao, et al. · arXiv (Cornell University) · 10,298
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Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015 · Xu, Kelvin, Ba, Jimmy, et al. · arXiv (Cornell University) · 8,248
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CSPNet: A New Backbone that can Enhance Learning Capability of CNN
2020 · Chien-Yao Wang, Hong-Yuan Mark Liao, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 5,258
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Deep visual-semantic alignments for generating image descriptions
2015 · Andrej Karpathy, Li Fei-Fei · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4,899
CenterNet: Keypoint Triplets for Object Detection
2019 · Kaiwen Duan, Song Bai, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 4,070
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CornerNet: Detecting Objects as Paired Keypoints
2018 · Hei Law, Jia Deng · Lecture notes in computer science · 3,847
Training Region-Based Object Detectors with Online Hard Example Mining
2016 · Abhinav Shrivastava, Abhinav Gupta, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,679
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Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
2020 · Shifeng Zhang, Cheng Chi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,514
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Soft-NMS — Improving Object Detection with One Line of Code
2017 · Navaneeth Bodla, Bharat Singh, et al. · IEEE International Conference on Computer Vision (ICCV) · 2,270
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SPICE: Semantic Propositional Image Caption Evaluation
2016 · Peter Anderson, Basura Fernando, et al. · Lecture notes in computer science · 1,982
Stacked Cross Attention for Image-Text Matching
2018 · Kuang-Huei Lee, Xi Chen, et al. · Lecture notes in computer science · 1,399
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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
2016 · Sean Bell, C. Lawrence Zitnick, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,332
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Generation and Comprehension of Unambiguous Object Descriptions
2016 · Junhua Mao, Jonathan Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,214
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Attention on Attention for Image Captioning
2019 · Lun Huang, Wenmin Wang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1,091
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Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
2014 · Mao, Junhua, Xu, Wei, et al. · arXiv (Cornell University) · 1,041
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Deep Visual-Semantic Alignments for Generating Image Descriptions
2016 · Andrej Karpathy, Li Fei-Fei · IEEE Transactions on Pattern Analysis and Machine Intelligence · 992
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
2020 · Shunjun Wei, Xiangfeng Zeng, et al. · IEEE Access · 916
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Auto-Encoding Scene Graphs for Image Captioning
2019 · Xu Yang, Kaihua Tang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 858
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Augmentation for small object detection
2019 · Mate Kisantal, Zbigniew Wojna, et al. · 800
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Rethinking Classification and Localization for Object Detection
2020 · Yue Wu, Yinpeng Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 761
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What Makes for Effective Detection Proposals?
2015 · Jan Hosang, Rodrigo Benenson, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 727
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Region Proposal by Guided Anchoring
2019 · Jiaqi Wang, Kai Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 717
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Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
2020 · Hongkai Zhang, Hong Chang, et al. · Lecture notes in computer science · 699
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DSOD: Learning Deeply Supervised Object Detectors from Scratch
2017 · Zhiqiang Shen, Zhuang Liu, et al. · IEEE International Conference on Computer Vision (ICCV) · 668
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Works count: 1,317
Citation count: 159,200
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