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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
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level
  Weakly Supervised Instance Segmentation
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation
Yunhao Ge
Jiashu Xu
Brian Nlong Zhao
Laurent Itti
Vibhav Vineet
DiffM
31
4
0
15 Dec 2022
Audiovisual Masked Autoencoders
Audiovisual Masked Autoencoders
Mariana-Iuliana Georgescu
Eduardo Fonseca
Radu Tudor Ionescu
Mario Lucic
Cordelia Schmid
Anurag Arnab
SSL
32
43
0
09 Dec 2022
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using
  CLIP and StableDiffusion
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
Hanqing Zhao
Dianmo Sheng
Jianmin Bao
Dongdong Chen
Dong Chen
...
Ce Liu
Wenbo Zhou
Qi Chu
Weiming Zhang
Neng H. Yu
VLM
DiffM
38
39
0
07 Dec 2022
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
11
3,273
0
06 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution
  Perspective
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Yunrui Zhao
Qianqian Xu
Yangbangyan Jiang
Peisong Wen
Qingming Huang
19
37
0
06 Dec 2022
Semi-supervised Learning with Robust Loss in Brain Segmentation
Semi-supervised Learning with Robust Loss in Brain Segmentation
Hedong Zhang
Anand A. Joshi
OOD
10
0
0
03 Dec 2022
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained
  Image-Language Models
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Minghua Liu
Yinhao Zhu
H. Cai
Shizhong Han
Z. Ling
Fatih Porikli
Hao Su
3DPC
27
68
0
03 Dec 2022
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Dongwon Kim
Nam-Won Kim
Suha Kwak
18
37
0
30 Nov 2022
Renmin University of China at TRECVID 2022: Improving Video Search by
  Feature Fusion and Negation Understanding
Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding
Xirong Li
Aozhu Chen
Ziyue Wang
Fan Hu
Kaibin Tian
Xinru Chen
Chengbo Dong
11
2
0
28 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
20
5
0
23 Nov 2022
Touch and Go: Learning from Human-Collected Vision and Touch
Touch and Go: Learning from Human-Collected Vision and Touch
Fengyu Yang
Chenyang Ma
Jiacheng Zhang
Jing Zhu
Wenzhen Yuan
Andrew Owens
25
51
0
22 Nov 2022
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen
Geng Yuan
Xinwen Cheng
Yifan Gong
Minghai Qin
Yanzhi Wang
X. Huang
AAML
20
20
0
22 Nov 2022
Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLM
VLM
28
75
0
21 Nov 2022
Are All Combinations Equal? Combining Textual and Visual Features with
  Multiple Space Learning for Text-Based Video Retrieval
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval
Damianos Galanopoulos
Vasileios Mezaris
11
7
0
21 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
  Method
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
30
19
0
20 Nov 2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and
  Vision-Language Tasks
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Hao Li
Jinguo Zhu
Xiaohu Jiang
Xizhou Zhu
Hongsheng Li
...
Xiaohua Wang
Yu Qiao
Xiaogang Wang
Wenhai Wang
Jifeng Dai
MLLM
18
55
0
17 Nov 2022
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual
  Information
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
Weijie Su
Xizhou Zhu
Chenxin Tao
Lewei Lu
Bin Li
Gao Huang
Yu Qiao
Xiaogang Wang
Jie Zhou
Jifeng Dai
34
41
0
17 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models
Conffusion: Confidence Intervals for Diffusion Models
Eliahu Horwitz
Yedid Hoshen
DiffM
21
28
0
17 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
14
18
0
16 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic
  Environments Perception: A Review
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar
Jinlong Li
Hongkai Yu
R. Cheu
Yisheng Lv
Ruimin Ke
20
21
0
09 Nov 2022
When & How to Transfer with Transfer Learning
When & How to Transfer with Transfer Learning
Adrián Tormos
Dario Garcia-Gasulla
Víctor Giménez-Ábalos
Sergio Álvarez Napagao
VLM
8
1
0
08 Nov 2022
Logits are predictive of network type
Logits are predictive of network type
Ali Borji
15
0
0
04 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSL
ISeg
BDL
19
6
0
02 Nov 2022
Tree Detection and Diameter Estimation Based on Deep Learning
Tree Detection and Diameter Estimation Based on Deep Learning
Vincent Grondin
Jean-Michel Fortin
F. Pomerleau
Philippe Giguère
3DPC
19
29
0
31 Oct 2022
From colouring-in to pointillism: revisiting semantic segmentation
  supervision
From colouring-in to pointillism: revisiting semantic segmentation supervision
Rodrigo Benenson
V. Ferrari
VLM
15
18
0
25 Oct 2022
End-to-end Transformer for Compressed Video Quality Enhancement
End-to-end Transformer for Compressed Video Quality Enhancement
Li Yu
Wenshuai Chang
Shiyu Wu
M. Gabbouj
ViT
19
8
0
25 Oct 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiaofeng Wang
25
4
0
24 Oct 2022
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by
  Inter-layer Kernel-sharing
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
Alireza Azadbakht
Saeed Reza Kheradpisheh
Ismail Khalfaoui-Hassani
T. Masquelier
23
1
0
23 Oct 2022
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
Hong Xuan
Xi Chen
23
2
0
21 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image
  Classification
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
R. Abdelfattah
Xin Zhang
M. Fouda
Xiaofeng Wang
Song Wang
VLM
30
6
0
20 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
15
10
0
19 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
43
3,252
0
16 Oct 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Minghua Liu
Yin Zhou
C. Qi
Boqing Gong
Hao Su
Drago Anguelov
3DPC
31
54
0
14 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip H. S. Torr
Song Bai
Xiaojuan Qi
16
285
0
14 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
44
46
0
13 Oct 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Jingru Tan
Bo-wen Li
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
39
8
0
11 Oct 2022
Training Deep Learning Algorithms on Synthetic Forest Images for Tree
  Detection
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Vincent Grondin
F. Pomerleau
Philippe Giguère
3DPC
18
8
0
08 Oct 2022
Brief Introduction to Contrastive Learning Pretext Tasks for Visual
  Representation
Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation
Zhenyu Lu
VLM
SSL
16
1
0
06 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
16
34
0
06 Oct 2022
Unbiased Scene Graph Generation using Predicate Similarities
Unbiased Scene Graph Generation using Predicate Similarities
Misaki Ohashi
Yusuke Matsui
32
1
0
03 Oct 2022
Visual representations in the human brain are aligned with large
  language models
Visual representations in the human brain are aligned with large language models
Adrien Doerig
Tim C Kietzmann
Emily J. Allen
Yihan Wu
Thomas Naselaris
Kendrick Norris Kay
I. Charest
32
23
0
23 Sep 2022
Exploring Visual Interpretability for Contrastive Language-Image
  Pre-training
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Yi Li
Hualiang Wang
Yiqun Duan
Han Xu
Xiaomeng Li
CLIP
VLM
98
25
0
15 Sep 2022
VIPHY: Probing "Visible" Physical Commonsense Knowledge
VIPHY: Probing "Visible" Physical Commonsense Knowledge
Shikhar Singh
Ehsan Qasemi
Muhao Chen
38
6
0
15 Sep 2022
Joint Debiased Representation and Image Clustering Learning with
  Self-Supervision
Joint Debiased Representation and Image Clustering Learning with Self-Supervision
Shun Zheng
JaeEun Nam
Emilio Dorigatti
Bernd Bischl
Shekoofeh Azizi
Mina Rezaei
SSL
18
0
0
14 Sep 2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen
Xiao Wang
Soravit Changpinyo
A. Piergiovanni
Piotr Padlewski
...
Andreas Steiner
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
MLLM
VLM
28
682
0
14 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
38
9
0
11 Sep 2022
A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
Esla Timothy Anzaku
Haohan Wang
Arnout Van Messem
W. D. Neve
25
2
0
05 Sep 2022
Label Structure Preserving Contrastive Embedding for Multi-Label
  Learning with Missing Labels
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma
Lisha Li
Qi-rong Mao
Songcan Chen
28
1
0
03 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
12
4
0
30 Aug 2022
Towards Federated Learning against Noisy Labels via Local
  Self-Regularization
Towards Federated Learning against Noisy Labels via Local Self-Regularization
Xue Jiang
Sheng Sun
Yuwei Wang
Min Liu
11
36
0
25 Aug 2022
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