Weakly Supervised Learning with Side Information for Noisy Labeled Images

25 August 2020

Papers citing "Weakly Supervised Learning with Side Information for Noisy Labeled Images"

25 / 25 papers shown

Title
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Zihan Wang Yankai Lin Yong Liu ELM 109 1 0 03 Feb 2025
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 32 1 0 30 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 63 2 0 30 May 2024
Predicting Perceived Gloss: Do Weak Labels Suffice? Julia Guerrero-Viu J. Daniel Subias Ana Serrano Katherine R. Storrs Roland W. Fleming B. Masiá Diego F. F. Gutierrez 37 2 0 26 Mar 2024
Skeleton-Based Human Action Recognition with Noisy Labels Yi Xu Kunyu Peng Di Wen Ruiping Liu Junwei Zheng Yufan Chen Jiaming Zhang Alina Roitberg Kailun Yang Rainer Stiefelhagen NoLa 52 3 0 15 Mar 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences Jie Cheng Gang Xiong Xingyuan Dai Qinghai Miao Yisheng Lv Fei-Yue Wang 33 15 0 27 Feb 2024
Weakly-semi-supervised object detection in remotely sensed imagery Ji Hun Wang Jeremy Irvin Beri Kohen Behar Ha Tran Raghav Samavedam Quentin Hsu Andrew Y. Ng 38 2 0 29 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 26 0 0 03 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 36 3 0 15 Oct 2023
Retail-786k: a Large-Scale Dataset for Visual Entity Matching Bianca Lamm Janis Keuper VLM 19 3 0 29 Sep 2023
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge Karan Shah Vishruth Veerendranath Anushka Hebbar Raghavendra Bhat 28 0 0 21 Jul 2023
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation Chaitanya Mitash Fan Wang Shiyang Lu Vikedo Terhuja T. Garaas F. Polido M. Nambi 22 27 0 29 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 22 2 0 20 Mar 2023
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning Woohyun Kang Jonghwan Mun Sungjun Lee Byungseok Roh VLM 14 18 0 27 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 44 4 0 01 Dec 2022
A Light Touch Approach to Teaching Transformers Multi-view Geometry Yash Bhalgat Joao F. Henriques Andrew Zisserman ViT 27 6 0 28 Nov 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 39 27 0 02 Sep 2022
V $^2$ L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval Wenhao Wang Yifan Sun Zongxin Yang Yi Yang VLM 24 3 0 26 Jul 2022
Unitail: Detecting, Reading, and Matching in Retail Scene Fangyi Chen Han Zhang Zaiwang Li Jiachen Dou Shentong Mo Hao Chen Yongxin Zhang Uzair Ahmed Chenchen Zhu Marios Savvides 37 9 0 01 Apr 2022
Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning Hong Liu Wendong Xu Ziwei Shang Xiang-Dong Wang H. Zhou ... L. Tan Huiru Zeng Huilong Cai Kuansong Wang Yuejing Qian 17 5 0 15 Mar 2022
The Met Dataset: Instance-level Recognition for Artworks Nikolaos-Antonios Ypsilantis Noa Garcia G. Han Sarah Ibrahimi Nanne van Noord Giorgos Tolias 36 43 0 03 Feb 2022
PP-ShiTu: A Practical Lightweight Image Recognition System Shengyun Wei Ruoyu Guo Cheng Cui Bin Lu Shuilong Dong ... Xueying Lyu Qiwen Liu Xiaoguang Hu Dianhai Yu Yanjun Ma CVBM 24 6 0 01 Nov 2021
Solution for Large-scale Long-tailed Recognition with Noisy Labels Yuqiao Xian Jiafan Zhuang Fufu Yu 22 1 0 20 Jun 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 32 6 0 01 Apr 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 963 0 16 Jul 2020