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Exploring the Limits of Weakly Supervised Pretraining

Exploring the Limits of Weakly Supervised Pretraining

2 May 2018
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
L. V. D. van der Maaten
    VLM
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Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

50 / 825 papers shown
Title
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
Chenying Liu
C. Albrecht
Yi Wang
Xiao Xiang Zhu
48
2
0
02 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
31
3
0
26 Apr 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
18
1
0
24 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
29
5
0
01 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
Learning from Reduced Labels for Long-Tailed Data
Learning from Reduced Labels for Long-Tailed Data
Meng Wei
Zhongnian Li
Yong Zhou
Xinzheng Xu
21
0
0
25 Mar 2024
Deep Active Learning: A Reality Check
Deep Active Learning: A Reality Check
Edrina Gashi
Jiankang Deng
Ismail Elezi
HAI
27
1
0
21 Mar 2024
Advancing COVID-19 Detection in 3D CT Scans
Advancing COVID-19 Detection in 3D CT Scans
Qingqiu Li
Runtian Yuan
Junlin Hou
Jilan Xu
Yuejie Zhang
Rui Feng
Hao Chen
16
1
0
18 Mar 2024
End-to-end multi-modal product matching in fashion e-commerce
End-to-end multi-modal product matching in fashion e-commerce
Sándor Tóth
Stephen Wilson
Alexia Tsoukara
Enric Moreu
Anton Masalovich
Lars Roemheld
27
0
0
18 Mar 2024
Iterative Online Image Synthesis via Diffusion Model for Imbalanced
  Classification
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
Shuhan Li
Yi-Mou Lin
Hao Chen
Kwang-Ting Cheng
37
3
0
13 Mar 2024
Activating Wider Areas in Image Super-Resolution
Activating Wider Areas in Image Super-Resolution
Cheng Cheng
Hang Wang
Hongbin Sun
32
10
0
13 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
29
4
0
08 Mar 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple
  Logits Retargeting Approach
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach
Han Lu
Siyu Sun
Yichen Xie
Liqing Zhang
Xiaokang Yang
Junchi Yan
32
1
0
01 Mar 2024
Ask Your Distribution Shift if Pre-Training is Right for You
Ask Your Distribution Shift if Pre-Training is Right for You
Benjamin Cohen-Wang
Joshua Vendrow
Aleksander Madry
OOD
29
3
0
29 Feb 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive
  Representation Learning
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
32
3
0
27 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
24
5
0
16 Feb 2024
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient
  Fine-Tuning in Deep Metric Learning
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
22
4
0
04 Feb 2024
Loss Function Considering Dead Zone for Neural Networks
Loss Function Considering Dead Zone for Neural Networks
Koki Inami
Koki Yamane
S. Sakaino
17
2
0
01 Feb 2024
Computer Vision for Primate Behavior Analysis in the Wild
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg
Timo Lüddecke
Jonathan Henrich
Sharmita Dey
Matthias Nuske
...
Alexander Gail
Stefan Treue
H. Scherberger
F. Worgotter
Alexander S. Ecker
28
3
0
29 Jan 2024
Incorporating simulated spatial context information improves the
  effectiveness of contrastive learning models
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
Lizhen Zhu
James Z. Wang
Wonseuk Lee
Bradley P. Wyble
37
2
0
26 Jan 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
33
44
0
23 Jan 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full
  Finetuning?
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
Cheng Han
Qifan Wang
Yiming Cui
Wenguan Wang
Lifu Huang
Siyuan Qi
Dongfang Liu
VLM
44
19
0
23 Jan 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed
  Classification
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Yanbiao Ma
Licheng Jiao
F. Liu
Shuyuan Yang
Xu Liu
Puhua Chen
23
10
0
21 Jan 2024
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
Wenyuan Zhang
Xinghua Zhang
Shiyao Cui
Kun Huang
Xuebin Wang
Tingwen Liu
26
6
0
12 Jan 2024
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual
  Concept Understanding
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
Yatong Bai
Utsav Garg
Apaar Shanker
Haoming Zhang
Samyak Parajuli
...
Eugenia D Fomitcheva
E. Branson
Aerin Kim
Somayeh Sojoudi
Kyunghyun Cho
16
2
0
09 Jan 2024
Synthetic Information towards Maximum Posterior Ratio for deep learning
  on Imbalanced Data
Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data
Hung Nguyen
Morris Chang
SyDa
12
1
0
05 Jan 2024
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
18
6
0
21 Dec 2023
Layerwise complexity-matched learning yields an improved model of
  cortical area V2
Layerwise complexity-matched learning yields an improved model of cortical area V2
Nikhil Parthasarathy
Olivier J. Hénaff
Eero P. Simoncelli
32
1
0
18 Dec 2023
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a
  single GPU for Zero-shot retail product image classification
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification
Muktabh Mayank Srivastava
VLM
16
4
0
16 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Min-Seob Lee
Song Park
Byeongho Heo
Dongyoon Han
Hyunjung Shim
MQ
VLM
21
1
0
15 Dec 2023
Jumpstarting Surgical Computer Vision
Jumpstarting Surgical Computer Vision
Deepak Alapatt
Aditya Murali
V. Srivastav
Pietro Mascagni
AI4SafeChole Consortium
N. Padoy
13
2
0
10 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery
ImbaGCD: Imbalanced Generalized Category Discovery
Ziyun Li
Ben Dai
Furkan Simsek
Christoph Meinel
Haojin Yang
29
2
0
04 Dec 2023
Long-Tail Learning with Rebalanced Contrastive Loss
Long-Tail Learning with Rebalanced Contrastive Loss
Charika De Alvis
Dishanika Denipitiyage
Suranga Seneviratne
19
1
0
04 Dec 2023
Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models
  via fMRI
Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
Xuan-Bac Nguyen
Xin Li
Pawan Sinha
Samee U. Khan
Khoa Luu
ViT
MedIm
27
0
0
30 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel
  Optimization
Adaptive Training Distributions with Scalable Online Bilevel Optimization
David Grangier
Pierre Ablin
Awni Y. Hannun
24
10
0
20 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
55
3
0
20 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring
  the Web
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web
Ameya Prabhu
Hasan Hammoud
Ser-Nam Lim
Bernard Ghanem
Philip H. S. Torr
Adel Bibi
CLL
127
9
0
19 Nov 2023
First Tragedy, then Parse: History Repeats Itself in the New Era of
  Large Language Models
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Naomi Saphra
Eve Fleisig
Kyunghyun Cho
Adam Lopez
LRM
17
8
0
08 Nov 2023
Exploring Dataset-Scale Indicators of Data Quality
Exploring Dataset-Scale Indicators of Data Quality
Ben Feuer
Chinmay Hegde
19
1
0
07 Nov 2023
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial
  Expression Recognition
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
Yuhang Zhang
Yaqi Li
Lixiong Qin
Xuannan Liu
Weihong Deng
36
16
0
30 Oct 2023
A Challenge in Reweighting Data with Bilevel Optimization
A Challenge in Reweighting Data with Bilevel Optimization
Anastasia Ivanova
Pierre Ablin
24
1
0
26 Oct 2023
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
16
2
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
16
3
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
25
2
0
24 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
24
3
0
20 Oct 2023
Spatial HuBERT: Self-supervised Spatial Speech Representation Learning
  for a Single Talker from Multi-channel Audio
Spatial HuBERT: Self-supervised Spatial Speech Representation Learning for a Single Talker from Multi-channel Audio
Antoni Dimitriadis
Siqi Pan
V. Sethu
Beena Ahmed
SSL
20
3
0
17 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
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
29
3
0
15 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and Benchmark
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
VLM
14
18
0
12 Oct 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
35
2
0
11 Oct 2023
Efficient Adaptation of Large Vision Transformer via Adapter
  Re-Composing
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Wei Dong
Dawei Yan
Zhijun Lin
Peng Wang
19
21
0
10 Oct 2023
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