Research

Papers for “coco”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
PE-former: Pose Estimation Transformer	Paschalis Panteleris, Antonis Argyros	2021	arxiv 2112.04981
IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules	Shihua Huang, Lu Wang	2019	arxiv 1903.07360
Privacy-preserving Object Detection	Peiyang He, Charlie Griffin, Krzysztof Kacprzyk	2021	arxiv 2103.06587
Generating Images from Captions with Attention	Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba	2015	arxiv 1511.02793
Learning Visually Grounded Sentence Representations	Douwe Kiela, Alexis Conneau, Allan Jabri	2017	arxiv 1707.06320
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification	Che-Ping Tsai, Hung-Yi Lee	2018	arxiv 1811.04689
Matrix Nets: A New Deep Architecture for Object Detection	Abdullah Rashwan, Agastya Kalra, Pascal Poupart	2019	arxiv 1908.04646
Image Captioning: Transforming Objects into Words	Simao Herdade, Armin Kappeler, Kofi Boakye	2019	arxiv 1906.05963
An Image Labeling Tool and Agricultural Dataset for Deep Learning	Patrick Wspanialy, Justin Brooks, Medhat Moussa	2020	arxiv 2004.03351
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge	Yinzheng Gu, Yihan Pan, Shizhe Chen	2020	arxiv 2007.08849
Improving Image Captioning by Leveraging Knowledge Graphs	Yimin Zhou, Yiwei Sun, Vasant Honavar	2019	arxiv 1901.08942
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion	Cagri Gungor, Adriana Kovashka	2024	arxiv 2409.09616
Towards Better Adversarial Synthesis of Human Images from Text	Rania Briq, Pratika Kochar, Juergen Gall	2021	arxiv 2107.01869
RefineCap: Concept-Aware Refinement for Image Captioning	Yekun Chai, Shuo Jin, Junliang Xing	2021	arxiv 2109.03529
Monte Carlo pathwise sensitivities for barrier options	Thomas Gerstner, Bastian Harrach, Daniel Roth	2018	arxiv 1804.03975
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)	Ilya Loshchilov, Tobias Glasmachers	2016	arxiv 1605.02720
Imagination improves Multimodal Translation	Desmond Elliott, Ákos Kádár	2017	arxiv 1705.04350
Unbiased Regression Loss for DETRs	Edric, Ueta Daisuke, Kurokawa Yukimasa	2024	arxiv 2410.22638
BlitzNet: A Real-Time Deep Network for Scene Understanding	Nikita Dvornik, Konstantin Shmelkov, Julien Mairal	2017	arxiv 1708.02813
An Implementation of Faster RCNN with Study for Region Sampling	Xinlei Chen, Abhinav Gupta	2017	arxiv 1702.02138

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