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Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach

5 August 2021

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Papers citing "Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach"

29 / 29 papers shown

Title
Why Can Accurate Models Be Learned from Inaccurate Annotations? Chongjie Si Yidan Cui Fuchao Yang Xiaokang Yang Wei Shen 37 0 0 22 May 2025
Efficient Token Compression for Vision Transformer with Spatial Information Preserved Junzhu Mao Yang Shen Jinyang Guo Yazhou Yao Xiansheng Hua ViT 141 0 0 30 Mar 2025
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users Antonia Karamolegkou Malvina Nikandrou Georgios Pantazopoulos Danae Sanchez Villegas Phillip Rust Ruchira Dhar Daniel Hershcovich Anders Søgaard 73 0 0 28 Mar 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels Xin-yang Zhao Jian Jin Yang-yang Li Yazhou Yao 81 0 0 27 Feb 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 94 0 0 08 Jan 2025
One-step Noisy Label Mitigation Hao Li Jiayang Gu Jingkuan Song An Zhang Lianli Gao NoLa 60 0 0 02 Oct 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 72 0 0 08 Jul 2024
Relating CNN-Transformer Fusion Network for Change Detection Yuhao Gao Gensheng Pei Mengmeng Sheng Zeren Sun Tao Chen Yazhou Yao ViT 73 2 0 03 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 89 3 0 03 Jul 2024
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images Wang Zhang Tingting Li Yuntian Zhang Gensheng Pei XiRuo Jiang Yazhou Yao 70 0 0 30 Apr 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 71 0 0 23 Mar 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua Jikang Cheng NoLa 60 6 0 17 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Christopher Liao Christian So Theodoros Tsiligkaridis Brian Kulis 77 0 0 06 Feb 2024
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng Zeren Sun Zhenhuang Cai Tao Chen Yichao Zhou Yazhou Yao 75 17 0 15 Dec 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web Ameya Prabhu Hasan Hammoud Ser-Nam Lim Guohao Li Philip Torr Adel Bibi CLL 176 8 0 19 Nov 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin Xingyu Chen Yunhang Shen Chaoyou Fu Yun Gu Ke Li Xing Sun Rongrong Ji 111 3 0 15 Oct 2023
Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning Jiabei He Yang Shen Xiu-Shen Wei Ye Wu 64 0 0 14 Oct 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 80 8 0 07 May 2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation Gensheng Pei Yazhou Yao Fumin Shen Daniel Huang Xing-Rui Huang Hengtao Shen VOS 83 12 0 08 Apr 2023
Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies Bei Gan Xiujun Shu Ruizhi Qiao Haoqian Wu Keyun Chen Hanjun Li Bohan Ren 48 5 0 26 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 130 11 0 20 Mar 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation Hui Tang Kui Jia OOD 75 14 0 16 Mar 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network Huafeng Liu Pai Peng Tao Chen Qiong Wang Yazhou Yao Xiansheng Hua 70 53 0 19 Jan 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 81 7 0 07 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie Yang Chunhua Shen 93 4 0 01 Dec 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 78 16 0 10 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 84 13 0 07 Oct 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets Paul Albert Eric Arazo Noel E. O'Connor Kevin McGuinness 56 8 0 04 Jul 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 86 34 0 11 Feb 2022