SOTA2 Research · papers

Papers for “coco”

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

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20 indexed

Title	Authors	Year	Source
Rethinking Pre-training and Self-training	Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin	2020	arxiv 2006.06882
Diverse Image Captioning with Grounded Style	Franz Klein, Shweta Mahajan, Stefan Roth	2022	arxiv 2205.01813
Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts	Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa	2024	arxiv 2405.14874
ALOHa: A New Measure for Hallucination in Captioning Models	Suzanne Petryk, David M. Chan, Anish Kachinthaya	2024	arxiv 2404.02904
Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package	Moreno I. Coco, Rick Dale	2013	arxiv 1310.0201
A Hilbert C*-module for Gabor systems	Michael Coco, M.C. Lammers	2001	arxiv math/0102165
An Attention Module for Convolutional Neural Networks	Zhu Baozhou, Peter Hofstee, Jinho Lee	2021	arxiv 2108.08205
Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction	Sébastien Quetin, Tapotosh Ghosh, Farhad Maleki	2025	arxiv 2503.17526
A Simple Semi-Supervised Learning Framework for Object Detection	Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li	2020	arxiv 2005.04757
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?	Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron	2021	arxiv 2112.10740
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose