1 code implementation • 16 May 2024 • Tianhe Ren, Qing Jiang, Shilong Liu, Zhaoyang Zeng, Wenlong Liu, Han Gao, Hongjie Huang, Zhengyu Ma, Xiaoke Jiang, Yihao Chen, Yuda Xiong, Hao Zhang, Feng Li, Peijun Tang, Kent Yu, Lei Zhang
Empirical results demonstrate the effectiveness of Grounding DINO 1. 5, with the Grounding DINO 1. 5 Pro model attaining a 54. 3 AP on the COCO detection benchmark and a 55. 7 AP on the LVIS-minival zero-shot transfer benchmark, setting new records for open-set object detection.
1 code implementation • 19 Jan 2024 • Wenlong Liu, Tianyu Yang, YuHan Wang, QiZhi Yu, Lei Zhang
Finally, we propose a KNN interpolation mechanism for the mask attention module of the spotting head to better handle primitive mask downsampling, which is primitive-level in contrast to pixel-level for the image.
1 code implementation • 2 Nov 2022 • Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
Few-Shot Learning (FSL) alleviates the data shortage challenge via embedding discriminative target-aware features among plenty seen (base) and few unseen (novel) labeled samples.
no code implementations • 10 Oct 2022 • Kewen Li, Wenlong Liu, YiMin Dou, Zhifeng Xu, Hongjie Duan, Ruilin Jing
Recently, seismic facies classification based on convolutional neural networks (CNN) has garnered significant research interest.
no code implementations • 8 Sep 2022 • Jinxiang Lai, Wenlong Liu, Jun Liu
Continual Learning (CL) focuses on developing algorithms with the ability to adapt to new environments and learn new skills.
no code implementations • 28 Jun 2017 • Liangzhuang Ma, Xin Kan, Qianjiang Xiao, Wenlong Liu, Peiqin Sun
This paper introduces a new real-time object detection approach named Yes-Net.