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
Dense Gaussian Processes for Few-Shot Segmentation	Joakim Johnander, Johan Edstedt, Michael Felsberg	2021	arxiv 2110.03674
A Tri-Layer Plugin to Improve Occluded Detection	Guanqi Zhan, Weidi Xie, Andrew Zisserman	2022	arxiv 2210.10046
State-of-the-art Models for Object Detection in Various Fields of Application	Syed Ali John Naqvi, Syed Bazil Ali	2022	arxiv 2211.00733
Narrowing the Gap: Improved Detector Training with Noisy Location Annotations	Shaoru Wang, Jin Gao, Bing Li	2022	arxiv 2206.05708
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints	Zhangjian Ji, Zilong Wang, Ming Zhang	2022	arxiv 2212.02163
Reversible Column Networks	Yuxuan Cai, Yizhuang Zhou, Qi Han	2022	arxiv 2212.11696
RON: Reverse Connection with Objectness Prior Networks for Object Detection	Tao Kong, Fuchun Sun, Anbang Yao	2017	arxiv 1707.01691
Light-Head R-CNN: In Defense of Two-Stage Object Detector	Zeming Li, Chao Peng, Gang Yu	2017	arxiv 1711.07264
Stacked Cross Attention for Image-Text Matching	Kuang-Huei Lee, Xi Chen, Gang Hua	2018	arxiv 1803.08024
Achieving Competitive Play Through Bottom-Up Approach in Semantic Segmentation	E. Pryzant, Q. Deng, B. Mei	2021	arxiv 2103.00657
Dense Contrastive Learning for Self-Supervised Visual Pre-Training