193 citations · 237 across the 18 of their papers we have counts for
7 papers · 1 filter
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Yipeng Gao, Lingxiao Yang, Yunmu Huang +3
Under the domain shift, cross-domain few-shot object detection aims to adapt object detectors in the target domain with a few annotated target data. There exists two significant ch…
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
Shengyu Zhang, Lingxiao Yang, Dong Yao +5
Effectively representing users lie at the core of modern recommender systems. Since users' interests naturally exhibit multiple aspects, it is of increasing interest to develop mul…
Texture-guided Saliency Distilling for Unsupervised Salient Object Detection
Huajun Zhou, Bo Qiao, Lingxiao Yang +2
Deep Learning-based Unsupervised Salient Object Detection (USOD) mainly relies on the noisy saliency pseudo labels that have been generated from traditional handcraft methods or pr…
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
Jianxiong Tang, Jianhuang Lai, Xiaohua Xie +2
Spiking neural networks are efficient computation models for low-power environments. Spike-based BP algorithms and ANN-to-SNN (ANN2SNN) conversions are successful techniques for SN…
Exploring Dual-task Correlation for Pose Guided Person Image Generation
Pengze Zhang, Lingxiao Yang, Jianhuang Lai +1
Pose Guided Person Image Generation (PGPIG) is the task of transforming a person image from the source pose to a given target pose. Most of the existing methods only focus on the i…
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Qi Chen, Lingxiao Yang, Jianhuang Lai +1
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often rely on Class Activation…
Benchmarking Deep Models for Salient Object Detection
Huajun Zhou, Yang Lin, Lingxiao Yang +2
In recent years, deep network-based methods have continuously refreshed state-of-the-art performance on Salient Object Detection (SOD) task. However, the performance discrepancy ca…