no code implementations • 26 Mar 2024 • Yunpeng Luo, Junlong Du, Ke Yan, Shouhong Ding
In response to this, we propose a novel Latent REconstruction error guided feature REfinement method (LaRE^2) for detecting the diffusion-generated images.
1 code implementation • 3 Feb 2024 • Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du
Large-scale pre-trained vision models (PVMs) have shown great potential for adaptability across various downstream vision tasks.
no code implementations • 14 Dec 2023 • Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan
Extensive experiments on four dense scene understanding tasks demonstrate the superiority of VMT-Adapter(-Lite), achieving a 3. 96%(1. 34%) relative improvement compared to single-task full fine-tuning, while utilizing merely ~1% (0. 36%) trainable parameters of the pre-trained model.
no code implementations • 14 Dec 2023 • Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding
On the one hand, to maximize the complementarity of tasks with high similarity, we utilize a gradient-driven task grouping method that partitions tasks into several disjoint groups and assign a group-shared MmAP to each group.
no code implementations • 9 Aug 2023 • Qiang Wang, Junlong Du, Ke Yan, Shouhong Ding
We propose that the key lies in explicitly modeling the motion cues flowing in video frames.
1 code implementation • 27 Jul 2020 • Penghao Zhou, Chong Zhou, Pai Peng, Junlong Du, Xing Sun, Xiaowei Guo, Feiyue Huang
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will potentially lead to a lower recall rate and a higher threshold introduces more false positives.
Ranked #12 on Object Detection on CrowdHuman (full body)