Search Results for author: Zeren Sun

Found 11 papers, 5 papers with code

Poly Kernel Inception Network for Remote Sensing Detection

1 code implementation10 Mar 2024 Xinhao Cai, Qiuxia Lai, Yuwei Wang, Wenguan Wang, Zeren Sun, Yazhou Yao

Object detection in remote sensing images (RSIs) often suffers from several increasing challenges, including the large variation in object scales and the diverse-ranging context.

Object object-detection +1

VideoMAC: Video Masked Autoencoders Meet ConvNets

1 code implementation29 Feb 2024 Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao

In this paper, we propose a new approach termed as \textbf{VideoMAC}, which combines video masked autoencoders with resource-friendly ConvNets.

Pose Tracking Representation Learning +4

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection

no code implementations17 Feb 2024 Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng-Tao Shen

Specifically, we propose Class-Balance-based sample Selection (CBS) to prevent the tail class samples from being neglected during training.

Learning with noisy labels

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

no code implementations15 Dec 2023 Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao

There has been significant attention devoted to the effectiveness of various domains, such as semi-supervised learning, contrastive learning, and meta-learning, in enhancing the performance of methods for noisy label learning (NLL) tasks.

Contrastive Learning Meta-Learning +1

Attention Map Guided Transformer Pruning for Edge Device

1 code implementation4 Apr 2023 Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen, Heng-Tao Shen

Then we combine the similarity and first-order gradients of key tokens along the query dimension for token importance estimation and remove redundant key and value tokens to further reduce the inference complexity.

Person Re-Identification

PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction

no code implementations CVPR 2022 Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang

Label noise has been a practical challenge in deep learning due to the strong capability of deep neural networks in fitting all training data.

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

no code implementations CVPR 2021 Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang

Due to the memorization effect in Deep Neural Networks (DNNs), training with noisy labels usually results in inferior model performance.

Contrastive Learning Memorization

Salvage Reusable Samples from Noisy Data for Robust Learning

1 code implementation6 Aug 2020 Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang

To this end, we propose a certainty-based reusable sample selection and correction approach, termed as CRSSC, for coping with label noise in training deep FG models with web images.

Memorization

Dynamically Visual Disambiguation of Keyword-based Image Search

no code implementations27 May 2019 Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Li-Min Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao

To address this issue, we present an adaptive multi-model framework that resolves polysemy by visual disambiguation.

General Classification Image Retrieval

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