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
Detecting Small Objects in Thermal Images Using Single-Shot Detector	Hao Zhang, Xianggong Hong, Li Zhu	2021	arxiv 2108.11101
An Empirical Study of Adder Neural Networks for Object Detection	Xinghao Chen, Chang Xu, Minjing Dong	2021	arxiv 2112.13608
Rethinking Pseudo Labels for Semi-Supervised Object Detection	Hengduo Li, Zuxuan Wu, Abhinav Shrivastava	2021	arxiv 2106.00168
Objects as Points	Xingyi Zhou, Dequan Wang, Philipp Krähenbühl	2019	arxiv 1904.07850
Mask R-CNN	Kaiming He, Georgia Gkioxari, Piotr Dollár	2017	arxiv 1703.06870
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks	Sanghyun Jo, In-Jae Yu, Kyungsu Kim	2022	arxiv 2204.06754
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation	Peng Lu, Tao Jiang, Yining Li	2023	arxiv 2312.07526
You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception	Sheng Jin, Shuhuai Li, Tong Li	2023	arxiv 2312.05525
Training-Free Dataset Pruning for Instance Segmentation	Yalun Dai, Lingao Xiao, Ivor W. Tsang	2025	arxiv 2503.00828
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts	Michael Saxon, Yiran Luo, Sharon Levy	2024	arxiv 2403.11092