no code implementations • 14 Mar 2024 • Tingtian Li, Zixun Sun, Xinyu Xiao
To achieve unsupervised highlight detection, we investigate the latent representations of the network and propose the representation activation sequence learning (RASL) module with k-point contrastive learning to learn significant representation activations.
no code implementations • 17 Nov 2023 • Xinyu Xiao, Zhennan Zhou, Bin Dong, Dingjiong Ma, Li Zhou, Jie Sun
Non-linear effects in long-haul, high-speed optical fiber systems significantly hinder channel capacity.
no code implementations • 24 Mar 2023 • Wenwen Zhang, Xinyu Xiao, Hangguan Shan, Eryun Liu
One-shot object detection (OSOD) aims to detect all object instances towards the given category specified by a query image.
no code implementations • IJCNLP 2019 • Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan
To address these problems, we propose an Adaptive Semantic Guidance Network (ASGN), which instantiates the whole video semantics to different POS-aware semantics with the supervision of part of speech (POS) tag.
2 code implementations • NeurIPS 2019 • Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun
In this work, we present DetNAS to use Neural Architecture Search (NAS) for the design of better backbones for object detection.