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
Automated Focal Loss for Image based Object Detection	Michael Weber, Michael Fürst, J. Marius Zöllner	2019	arxiv 1904.09048
Interactive Full Image Segmentation by Considering All Regions Jointly	Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari	2018	arxiv 1812.01888
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations	Tianlu Wang, Jieyu Zhao, Mark Yatskar	2018	arxiv 1811.08489
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection	Abdullah Rashwan, Rishav Agarwal, Agastya Kalra	2020	arxiv 2001.03194
On Steering Multi-Annotations per Sample for Multi-Task Learning	Yuanze Li, Yiwen Guo, Qizhang Li	2022	arxiv 2203.02946
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge	Duc Minh Vo, Hong Chen, Akihiro Sugimoto	2022	arxiv 2203.14499
Pretraining is All You Need for Image-to-Image Translation	Tengfei Wang, Ting Zhang, Bo Zhang	2022	arxiv 2205.12952
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training	Zhihao Fan, Zhongyu Wei, Jingjing Chen	2022	arxiv 2206.05555
Featurized Query R-CNN	Wenqiang Zhang, Tianheng Cheng, Xinggang Wang	2022	arxiv 2206.06258
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch	Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang	2022	arxiv 2208.03354

MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts	Diederick Vermetten, Furong Ye, Thomas Bäck	2023	arxiv 2306.10627