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Large Loss Matters in Weakly Supervised Multi-Label Classification

Large Loss Matters in Weakly Supervised Multi-Label Classification

8 June 2022
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
    NoLa
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Papers citing "Large Loss Matters in Weakly Supervised Multi-Label Classification"

29 / 29 papers shown
Title
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Dongseob Kim
Hyunjung Shim
VLM
44
0
0
21 Mar 2025
Dual-Decoupling Learning and Metric-Adaptive Thresholding for
  Semi-Supervised Multi-Label Learning
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jia-Hao Xiao
Ming-Kun Xie
Heng-Bo Fan
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
18
0
0
26 Jul 2024
A Survey on Incomplete Multi-label Learning: Recent Advances and Future
  Trends
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
Xiang Li
Jiexi Liu
Xinrui Wang
Songcan Chen
AI4TS
27
0
0
10 Jun 2024
Free Performance Gain from Mixing Multiple Partially Labeled Samples in
  Multi-label Image Classification
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification
Chak Fong Chong
Jielong Guo
Xu Yang
Wei Ke
Yapeng Wang
VLM
18
0
0
24 May 2024
Boosting Single Positive Multi-label Classification with Generalized
  Robust Loss
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Yanxi Chen
Chunxiao Li
Xinyang Dai
Jinhuan Li
Weiyu Sun
Yiming Wang
Renyuan Zhang
Tinghe Zhang
Bo Wang
32
0
0
06 May 2024
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning
Shuo Yang
Zirui Shang
Yongqi Wang
Derong Deng
Hongwei Chen
Qiyuan Cheng
Xinxiao Wu
VLM
31
5
0
02 Mar 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in
  Multi-Label Image Classification with Partial Labels
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Chak Fong Chong
Xinyi Fang
Jielong Guo
Yapeng Wang
Wei Ke
C. Lam
Sio-Kei Im
23
1
0
30 Jan 2024
Long-tailed multi-label classification with noisy label of thoracic
  diseases from chest X-ray
Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray
Haoran Lai
Qingsong Yao
Zhiyang He
Xiaodong Tao
Kevin Zhou
13
1
0
29 Nov 2023
Resilient Multiple Choice Learning: A learned scoring scheme with
  application to audio scene analysis
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Victor Letzelter
Mathieu Fontaine
Mickaël Chen
Patrick Pérez
S. Essid
Ga¨el Richard
20
6
0
02 Nov 2023
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Xin Xing
Zhexiao Xiong
Abby Stylianou
S. Sastry
Liyu Gong
Nathan Jacobs
VLM
29
4
0
24 Oct 2023
2D-3D Interlaced Transformer for Point Cloud Segmentation with
  Scene-Level Supervision
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
Cheng-Kun Yang
Min-Hung Chen
Yung-Yu Chuang
Yen-Yu Lin
ViT
3DPC
17
16
0
19 Oct 2023
Can Class-Priors Help Single-Positive Multi-Label Learning?
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu
N. Xu
Jie Wang
Xin Geng
31
1
0
25 Sep 2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot
  Learning
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
Ziming Liu
Jingcai Guo
Xiaocheng Lu
Song Guo
Peiran Dong
Jiewei Zhang
VLM
16
8
0
02 Sep 2023
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image
  Classification
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
R. Abdelfattah
Qing-Wu Guo
Xiaoguang Li
Xiaofeng Wang
Song Wang
VLM
8
28
0
31 Jul 2023
Understanding Label Bias in Single Positive Multi-Label Learning
Understanding Label Bias in Single Positive Multi-Label Learning
Julio Arroyo
Pietro Perona
Elijah Cole
8
2
0
24 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
24
15
0
04 May 2023
Bridging the Gap between Model Explanations in Partially Annotated
  Multi-label Classification
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
19
7
0
04 Apr 2023
Exploring Structured Semantic Prior for Multi Label Recognition with
  Incomplete Labels
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Zixuan Ding
Ao Wang
Hui Chen
Q. Zhang
Pengzhang Liu
Yongjun Bao
Weipeng P. Yan
Jungong Han
11
27
0
23 Mar 2023
Natural Language-Assisted Sign Language Recognition
Natural Language-Assisted Sign Language Recognition
Ronglai Zuo
Fangyun Wei
Brian Mak
SLR
8
35
0
21 Mar 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for
  Weakly-Supervised Object Detection
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
Arushi Rai
Adriana Kovashka
11
0
0
16 Mar 2023
Improving Audio-Visual Video Parsing with Pseudo Visual Labels
Improving Audio-Visual Video Parsing with Pseudo Visual Labels
Jinxing Zhou
Dan Guo
Yiran Zhong
Meng Wang
VLM
31
11
0
04 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From
  Single Positive to Full Labels
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels
Xiang Li
Xinrui Wang
Songcan Chen
12
0
0
28 Feb 2023
Speech MOS multi-task learning and rater bias correction
Speech MOS multi-task learning and rater bias correction
H. Akrami
H. Gamper
14
0
0
04 Dec 2022
Category-Adaptive Label Discovery and Noise Rejection for Multi-label
  Image Recognition with Partial Positive Labels
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
Tao Pu
Q. Lao
Hefeng Wu
Tianshui Chen
Liang Lin
16
2
0
15 Nov 2022
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label
  Image Recognition with Partial Labels
Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Tao Pu
Tianshui Chen
Hefeng Wu
Yukai Shi
Zhijing Yang
Liang Lin
23
10
0
26 May 2022
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised
  Semantic Segmentation with Multi-scale Inference
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu
Ersi Zhang
Lulu Xu
Chufan Xiao
Xiao-Yu Zhong
...
Ming Xu
Yongbing Zhang
Dongmei Yu
C. Yan
Peiwu Qin
11
20
0
06 May 2022
Spatial Consistency Loss for Training Multi-Label Classifiers from
  Single-Label Annotations
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations
Thomas Verelst
Paul Kishan Rubenstein
M. Eichner
Tinne Tuytelaars
Maxim Berman
8
17
0
11 Mar 2022
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
384
139
0
13 Jan 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
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