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
GM-Skip: Metric-Guided Transformer Block Skipping for Efficient Vision-Language Models	Lianming Huang, Haibo Hu, Qiao Li	2025	arxiv 2508.18227
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation	Shoumeng Qiu, Jie Chen, Xinrun Li	2024	arxiv 2407.13254
Accelerating Image Generation with Sub-path Linear Approximation Model	Chen Xu, Tianhui Song, Weixin Feng	2024	arxiv 2404.13903
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning	Debanjali Bhattacharya, Neelam Sinha, Yashwanth R.	2023	arxiv 2311.08417
Bottleneck Transformers for Visual Recognition	Aravind Srinivas, Tsung-Yi Lin, Niki Parmar	2021	arxiv 2101.11605
Learning Meta-class Memory for Few-Shot Semantic Segmentation	Zhonghua Wu, Xiangxi Shi, Guosheng lin	2021	arxiv 2108.02958
Deep Structured Instance Graph for Distilling Object Detectors	Yixin Chen, Pengguang Chen, Shu Liu	2021	arxiv 2109.12862
DeRPN: Taking a further step toward more general object detection	Lele Xie, Yuliang Liu, Lianwen Jin	2018	arxiv 1811.06700
CornerNet-Lite: Efficient Keypoint Based Object Detection	Hei Law, Yun Teng, Olga Russakovsky	2019	arxiv 1904.08900
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition	Yu Liu, Hongyang Li, Xiaogang Wang	2017	arxiv 1710.00870