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
Multiple Anchor Learning for Visual Object Detection	Wei Ke, Tianliang Zhang, Zeyi Huang	2019	arxiv 1912.02252
Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search	Jing Ge, Guangyu Gao, Zhen Liu	2019	arxiv 1912.03083
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding	Geondo Park, Chihye Han, Wonjun Yoon	2020	arxiv 2001.03712
GFF: Gated Fully Fusion for Semantic Segmentation	Xiangtai Li, Houlong Zhao, Lei Han	2019	arxiv 1904.01803
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection	Ya-Li Li, Shengjin Wang	2019	arxiv 1904.11141
QuadTree Attention for Vision Transformers	Shitao Tang, Jiahui Zhang, Siyu Zhu	2022	arxiv 2201.02767
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR	Shilong Liu, Feng Li, Hao Zhang	2022	arxiv 2201.12329
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity	Weiyao Wang, Matt Feiszli, Heng Wang	2022	arxiv 2204.06107
Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection	Weixin Feng, Xingyuan Bu, Chenchen Zhang	2022	arxiv 2205.04072
CMT: Convolutional Neural Networks Meet Vision Transformers	Jianyuan Guo, Kai Han, Han Wu	2021	arxiv 2107.06263
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters