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
Multimodal Contrastive Training for Visual Representation Learning	Xin Yuan, Zhe Lin, Jason Kuen	2021	arxiv 2104.12836
Dynamic Head: Unifying Object Detection Heads with Attentions	Xiyang Dai, Yinpeng Chen, Bin Xiao	2021	arxiv 2106.08322
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation	Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang	2022	arxiv 2206.09667
Pseudo-label Alignment for Semi-supervised Instance Segmentation	Jie Hu, Chen Chen, Liujuan Cao	2023	arxiv 2308.05359
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach	Tae-Min Choi, Jong-Hwan Kim	2023	arxiv 2302.09779
ClusterFormer: Clustering As A Universal Visual Learner	James C. Liang, Yiming Cui, Qifan Wang	2023	arxiv 2309.13196
DSSD : Deconvolutional Single Shot Detector	Cheng-Yang Fu, Wei Liu, Ananth Ranga	2017	arxiv 1701.06659
Feature Pyramid Networks for Object Detection	Tsung-Yi Lin, Piotr Dollár, Ross Girshick	2016	arxiv 1612.03144
Boundary-sensitive Network for Portrait Segmentation	Xianzhi Du, Xiaolong Wang, Dawei Li	2017	arxiv 1712.08675
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples	Haoyue Shi, Jiayuan Mao, Tete Xiao	2018	arxiv 1806.10348
Group Whitening: Balancing Learning Efficiency and Representational Capacity