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Asymmetric Loss For Multi-Label Classification

Asymmetric Loss For Multi-Label Classification

29 September 2020
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
ArXivPDFHTML

Papers citing "Asymmetric Loss For Multi-Label Classification"

50 / 55 papers shown
Title
An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification
An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification
Utsav Nareti
S. Chattopadhyay
Prolay Mallick
Suraj Kumar
Ayush Vikas Daga
Chandranath Adak
Adarsh Wase
Arjab Roy
10
0
0
05 May 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
Hong Xin Xie
Jian De Sun
Fan Fu Xue
Zi Fei Han
S. Feng
Qi Chen
47
0
0
01 May 2025
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition
Yin Tang
Jiankai Li
Hongyu Yang
Xuan Dong
Lifeng Fan
Weixin Li
27
0
0
25 Apr 2025
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Abdul Rehman
Talha Meraj
A. Minhas
A. Imran
Mohsen Ali
Waqas Sultani
M. Shah
56
0
0
03 Apr 2025
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
Ning Chen
Shen-Huan Lyu
Tian-Shuang Wu
Yanyan Wang
Bin Tang
53
0
0
31 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning
Geometric Mean Improves Loss For Few-Shot Learning
Tong Wu
Takumi Kobayashi
24
0
0
24 Jan 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
24
0
0
31 Dec 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Rohith Peddi
Saurabh
Ayush Abhay Shrivastava
Parag Singla
Vibhav Gogate
65
0
0
20 Nov 2024
Rethinking Prompting Strategies for Multi-Label Recognition with Partial
  Annotations
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
Samyak Rawlekar
Shubhang Bhatnagar
Narendra Ahuja
VLM
18
1
0
12 Sep 2024
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for
  Multi-Label Image Classification
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang
Hongyi Wang
Ziwei Niu
Zhenjia Bai
Shiao Xie
Yingying Xu
Ruofeng Tong
Yen-Wei Chen
Lanfen Lin
VLM
25
1
0
23 Jul 2024
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for
  Multi-Label Medical Image Classification
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
Yaoqin Ye
Junjie Zhang
Hongwei Shi
MedIm
VLM
30
0
0
10 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
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit
  Detectors
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
Kaishen Yuan
Zitong Yu
Xin Liu
Weicheng Xie
Huanjing Yue
Jingyu Yang
ViT
26
12
0
07 Mar 2024
A comparative study of zero-shot inference with large language models
  and supervised modeling in breast cancer pathology classification
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
Madhumita Sushil
T. Zack
Divneet Mandair
Zhiwei Zheng
Ahmed Wali
Yan-Ning Yu
Yuwei Quan
A. Butte
22
6
0
25 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource
  Security Attack Pattern Recognition
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen
Nedim Srndic
Alexander Neth
AAML
24
2
0
18 Jan 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya-Qin Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
30
5
0
26 Dec 2023
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray
  Classification
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
Tianjie Dai
Ruipeng Zhang
Feng Hong
Jiangchao Yao
Ya-Qin Zhang
Yanfeng Wang
12
8
0
18 Dec 2023
Demystifying Visual Features of Movie Posters for Multi-Label Genre
  Identification
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
Utsav Nareti
Chandranath Adak
Soumiki Chattopadhyay
11
0
0
21 Sep 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for
  Multi-Label Image Recognition
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao
Sheng Jin
Lumin Xu
Wang Zeng
Wentao Liu
Chao Qian
Ping Luo
Ji Wu
21
2
0
28 Aug 2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for
  Multi-Label Image Classification
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
Miaoge Li
Dongsheng Wang
Xinyang Liu
Zequn Zeng
Ruiying Lu
Bo Chen
Mingyuan Zhou
VLM
OT
11
15
0
18 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
21
8
0
08 Jul 2023
A vector quantized masked autoencoder for audiovisual speech emotion recognition
A vector quantized masked autoencoder for audiovisual speech emotion recognition
Samir Sadok
Simon Leglaive
Renaud Séguier
SSL
76
6
0
05 May 2023
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute
  Recognition
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
Xinwen Fan
Yukang Zhang
Yang Lu
Hanzi Wang
ViT
19
28
0
14 Apr 2023
Detecting and Grounding Multi-Modal Media Manipulation
Detecting and Grounding Multi-Modal Media Manipulation
Rui Shao
Tianxing Wu
Ziwei Liu
19
56
0
05 Apr 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
Category Query Learning for Human-Object Interaction Classification
Category Query Learning for Human-Object Interaction Classification
Chi Xie
Fangao Zeng
Yue Hu
Shuang Liang
Yichen Wei
VLM
24
20
0
24 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Youcai Zhang
Yuzhuo Qin
Heng-Ye Liu
Yanhao Zhang
Yaqian Li
X. Gu
VLM
48
2
0
15 Mar 2023
DPPMask: Masked Image Modeling with Determinantal Point Processes
DPPMask: Masked Image Modeling with Determinantal Point Processes
Junde Xu
Zikai Lin
Donghao Zhou
Yao-Cheng Yang
Xiangyun Liao
Bian Wu
Guangyong Chen
Pheng-Ann Heng
15
1
0
13 Mar 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification
Dayong Tian
Fei Li
Yiwen Wei
17
0
0
21 Feb 2023
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image
  Classification
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
I. Singh
Enjie Ghorbel
Anis Kacem
A. Rathinam
Djamila Aouada
18
3
0
25 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal
  Difficulty Measure
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Xiaoling Zhou
Ou Wu
Weiyao Zhu
Ziyang Liang
20
2
0
12 Jan 2023
Learning Disentangled Label Representations for Multi-label
  Classification
Learning Disentangled Label Representations for Multi-label Classification
Jian Jia
Fei He
Naiyu Gao
Xiaotang Chen
Kaiqi Huang
21
2
0
02 Dec 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith M. Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
14
1
0
23 Nov 2022
MuMIC -- Multimodal Embedding for Multi-label Image Classification with
  Tempered Sigmoid
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid
Feng Wang
Sarai Mizrachi
Moran Beladev
Guy Nadav
Gil Amsalem
Karen Lastmann Assaraf
Hadas Harush Boker
VLM
11
12
0
02 Nov 2022
Combining Metric Learning and Attention Heads For Accurate and Efficient
  Multilabel Image Classification
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
K. Prokofiev
V. Sovrasov
VLM
10
8
0
14 Sep 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label
  Predictions (CHAMP)
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)
A. Vaswani
Gaurav Aggarwal
Praneeth Netrapalli
N. Hegde
11
4
0
17 Jun 2022
Comprehending and Ordering Semantics for Image Captioning
Comprehending and Ordering Semantics for Image Captioning
Yehao Li
Yingwei Pan
Ting Yao
Tao Mei
13
86
0
14 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label Classification
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
13
46
0
08 Jun 2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial
  Labels
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Tianshui Chen
Tao Pu
Lingbo Liu
Yukai Shi
Zhijing Yang
Liang Lin
45
15
0
23 May 2022
Boosting Multi-Label Image Classification with Complementary Parallel
  Self-Distillation
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Jiazhi Xu
Sheng Huang
Fengtao Zhou
Luwen Huangfu
D. Zeng
Bo Liu
9
13
0
23 May 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for
  Segmentation
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Hao He
Yuhui Yuan
Xiangyu Yue
Han Hu
VOS
VLM
8
13
0
08 Mar 2022
Cyclical Focal Loss
Cyclical Focal Loss
L. Smith
30
14
0
16 Feb 2022
Injecting Semantic Concepts into End-to-End Image Captioning
Injecting Semantic Concepts into End-to-End Image Captioning
Zhiyuan Fang
Jianfeng Wang
Xiaowei Hu
Lin Liang
Zhe Gan
Lijuan Wang
Yezhou Yang
Zicheng Liu
ViT
VLM
16
85
0
09 Dec 2021
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
Wendong Zhang
Yunbo Wang
Bingbing Ni
Xiaokang Yang
26
12
0
08 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for
  Multi-Label Classification
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai
Shufeng Kong
Carla P. Gomes
SSL
DRL
17
36
0
02 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
15
17
0
30 Nov 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient
  Labels for Multi-Label Image Classification
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
Jianzhe Lin
Tianze Yu
Z. J. Wang
6
10
0
06 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
22
29
0
24 Aug 2021
Residual Attention: A Simple but Effective Method for Multi-Label
  Recognition
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
Ke Zhu
Jianxin Wu
11
135
0
05 Aug 2021
Fine-Grained AutoAugmentation for Multi-Label Classification
Fine-Grained AutoAugmentation for Multi-Label Classification
Y. Wang
Hesen Chen
Fangyi Zhang
Yaohua Wang
Xiuyu Sun
Ming Lin
Hao Li
16
2
0
12 Jul 2021
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