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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 / 258 papers shown
Title
Combining Supervised Learning and Reinforcement Learning for Multi-Label
  Classification Tasks with Partial Labels
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
Zixia Jia
Junpeng Li
Shichuan Zhang
Guy Van den Broeck
Zilong Zheng
40
2
0
24 Jun 2024
Multimodal Multilabel Classification by CLIP
Multimodal Multilabel Classification by CLIP
Yanming Guo
VLM
32
0
0
23 Jun 2024
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP
  Aligned Representation
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
Muhammad Ali
Salman Khan
VLM
49
15
0
21 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
31
1
0
20 Jun 2024
An Effective-Efficient Approach for Dense Multi-Label Action Detection
An Effective-Efficient Approach for Dense Multi-Label Action Detection
Faegheh Sardari
Armin Mustafa
Philip J. B. Jackson
Adrian Hilton
37
0
0
10 Jun 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
34
0
0
10 Jun 2024
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal
  Biomedical Image Registration using Deep Co-Attention Networks
From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
Yifeng Wang
Weipeng Li
Thomas Pearce
Haohan Wang
OOD
23
0
0
06 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
37
0
0
24 May 2024
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells
  Detection with Morphological Attributes for Explainability
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman
Talha Meraj
A. Minhas
Ayisha Imran
Mohsen Ali
Waqas Sultani
37
2
0
17 May 2024
Multi-scale Semantic Prior Features Guided Deep Neural Network for Urban
  Street-view Image
Multi-scale Semantic Prior Features Guided Deep Neural Network for Urban Street-view Image
Jianshun Zeng
Wang Li
Yanjie Lv
Shuai Gao
Yuchu Qin
30
0
0
17 May 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
53
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
37
0
0
06 May 2024
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
40
5
0
24 Apr 2024
Revisiting Noise Resilience Strategies in Gesture Recognition:
  Short-Term Enhancement in Surface Electromyographic Signal Analysis
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis
Weiyu Guo
Ziyue Qiao
Ying Sun
Hui Xiong
34
0
0
17 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound
  classification
AudioProtoPNet: An interpretable deep learning model for bird sound classification
René Heinrich
Bernhard Sick
Christoph Scholz
22
2
0
16 Apr 2024
Exploring Contrastive Learning for Long-Tailed Multi-Label Text
  Classification
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
Alexandre Audibert
Aurélien Gauffre
Massih-Reza Amini
44
2
0
12 Apr 2024
Counterfactual Reasoning for Multi-Label Image Classification via
  Patching-Based Training
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
Ming-Kun Xie
Jia-Hao Xiao
Pei Peng
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
46
3
0
09 Apr 2024
Diverse and Tailored Image Generation for Zero-shot Multi-label
  Classification
Diverse and Tailored Image Generation for Zero-shot Multi-label Classification
Kai Zhang
Zhixiang Yuan
Tao Huang
VLM
39
4
0
04 Apr 2024
Learning to Rank Patches for Unbiased Image Redundancy Reduction
Learning to Rank Patches for Unbiased Image Redundancy Reduction
Yang Luo
Zhineng Chen
Peng Zhou
Zuxuan Wu
Xieping Gao
Yu-Gang Jiang
SSL
27
1
0
31 Mar 2024
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced
  Samples
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
Ao Zhou
Bin Liu
Jin Wang
Grigorios Tsoumakas
31
2
0
27 Mar 2024
ProPML: Probability Partial Multi-label Learning
ProPML: Probability Partial Multi-label Learning
Lukasz Struski
Adam Pardyl
Jacek Tabor
Bartosz Zieliñski
33
1
0
12 Mar 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
31
13
0
07 Mar 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
38
6
0
02 Mar 2024
ControlCap: Controllable Region-level Captioning
ControlCap: Controllable Region-level Captioning
Yuzhong Zhao
Yue Liu
Zonghao Guo
Weijia Wu
Chen Gong
Fang Wan
QiXiang Ye
26
5
0
31 Jan 2024
PVLR: Prompt-driven Visual-Linguistic Representation Learning for
  Multi-Label Image Recognition
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition
Hao Tan
Zichang Tan
Jun Li
Jun Wan
Zhen Lei
VLM
38
0
0
31 Jan 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
31
1
0
30 Jan 2024
Consistent algorithms for multi-label classification with macro-at-$k$
  metrics
Consistent algorithms for multi-label classification with macro-at-kkk metrics
Erik Schultheis
Wojciech Kotlowski
Marek Wydmuch
Rohit Babbar
Strom Borman
Krzysztof Dembczyñski
28
5
0
29 Jan 2024
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver
  Activity Recognition
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition
Jian Kuang
Wenjing Li
Fang Li
Jun Zhang
Zhongcheng Wu
35
1
0
25 Jan 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
41
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
45
3
0
18 Jan 2024
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label
  Visual Classification
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
A. Sajedi
Samir Khaki
Y. Lawryshyn
Konstantinos N. Plataniotis
VLM
35
2
0
02 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 Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
40
5
0
26 Dec 2023
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
Yuehao Yin
Huiyan Qi
B. Zhu
Jingjing Chen
Yu-Gang Jiang
Chong-Wah Ngo
31
19
0
22 Dec 2023
Context Enhanced Transformer for Single Image Object Detection
Context Enhanced Transformer for Single Image Object Detection
Seungjun An
Seonghoon Park
Gyeongnyeon Kim
Jeongyeol Baek
Byeongwon Lee
Seungryong Kim
ViT
43
3
0
22 Dec 2023
TagAlign: Improving Vision-Language Alignment with Multi-Tag
  Classification
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
Qinying Liu
Wei Wu
Kecheng Zheng
Zhan Tong
Jiawei Liu
Yu Liu
Wei Chen
Zilei Wang
Yujun Shen
VLM
31
6
0
21 Dec 2023
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary
  Multi-Label Classification of CLIP Without Training
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training
Yuqi Lin
Minghao Chen
Kaipeng Zhang
Hengjia Li
Mingming Li
Zheng Yang
Dongqin Lv
Binbin Lin
Haifeng Liu
Deng Cai
CLIP
VLM
46
11
0
20 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 Zhang
Yanfeng Wang
38
8
0
18 Dec 2023
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
Srikumar Sastry
Xin Xing
Aayush Dhakal
Subash Khanal
Adeel Ahmad
Nathan Jacobs
39
5
0
13 Dec 2023
Language-Guided Transformer for Federated Multi-Label Classification
Language-Guided Transformer for Federated Multi-Label Classification
I-Jieh Liu
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
57
4
0
12 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song
Minseok Kim
Jae-Gil Lee
54
7
0
12 Dec 2023
FOSS: A Self-Learned Doctor for Query Optimizer
FOSS: A Self-Learned Doctor for Query Optimizer
Kai Zhong
Luming Sun
Tao Ji
Cuiping Li
Hong Chen
16
0
0
11 Dec 2023
Text as Image: Learning Transferable Adapter for Multi-Label
  Classification
Text as Image: Learning Transferable Adapter for Multi-Label Classification
Xueling Zhu
Jiuxin Cao
Jian Liu
Dongqi Tang
Furong Xu
Weijia Liu
Jiawei Ge
Bo Liu
Qingpei Guo
Tianyi Zhang
VLM
41
2
0
07 Dec 2023
AI-SAM: Automatic and Interactive Segment Anything Model
AI-SAM: Automatic and Interactive Segment Anything Model
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
VLM
32
4
0
05 Dec 2023
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with
  Semantic Vector-Quantized Tokenizer
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer
Jacob Zhiyuan Fang
Skyler Zheng
Vasu Sharma
Robinson Piramuthu
VLM
38
0
0
28 Nov 2023
Scalable Label Distribution Learning for Multi-Label Classification
Scalable Label Distribution Learning for Multi-Label Classification
Xingyu Zhao
Yuexuan An
Lei Qi
Xin Geng
21
1
0
28 Nov 2023
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for
  Multi-label Image Classification
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
Lei Wang
Yibing Zhan
Leilei Ma
Dapeng Tao
Liang Ding
Chen Gong
34
1
0
26 Nov 2023
Improving Image Captioning via Predicting Structured Concepts
Improving Image Captioning via Predicting Structured Concepts
Ting Wang
Weidong Chen
Yuanhe Tian
Yan Song
Zhendong Mao
42
8
0
14 Nov 2023
Learning to recognize occluded and small objects with partial inputs
Learning to recognize occluded and small objects with partial inputs
H. Zunair
A. Ben Hamza
29
1
0
27 Oct 2023
Towards long-tailed, multi-label disease classification from chest
  X-ray: Overview of the CXR-LT challenge
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
G. Holste
Yiliang Zhou
Song Wang
Ajay Jaiswal
Mingquan Lin
...
Zhiyong Lu
Ronald M. Summers
George Shih
Zhangyang Wang
Yifan Peng
31
13
0
24 Oct 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
Srikumar Sastry
Liyu Gong
Nathan Jacobs
VLM
37
4
0
24 Oct 2023
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