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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
Laurens van der Maaten
    VLM
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Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

50 / 825 papers shown
Title
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Kaveena Persand
Andrew Anderson
David Gregg
20
0
0
04 May 2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu
Zirui Wang
Vijay Vasudevan
Legg Yeung
Mojtaba Seyedhosseini
Yonghui Wu
VLM
CLIP
OffRL
85
1,265
0
04 May 2022
Reliable Label Correction is a Good Booster When Learning with Extremely
  Noisy Labels
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Kaidi Wang
Xiang Peng
Shuo Yang
Jianfei Yang
Zheng Hua Zhu
Xinchao Wang
Yang You
NoLa
24
8
0
30 Apr 2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh
Shervin Ardeshir
Lingyi Liu
Nagendra Kamath
Ashok Chandrashekar
SSL
35
3
0
29 Apr 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
46
11
0
27 Apr 2022
Tag-Based Attention Guided Bottom-Up Approach for Video Instance
  Segmentation
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation
Jyoti Kini
M. Shah
VOS
24
0
0
22 Apr 2022
Fast AdvProp
Fast AdvProp
Jieru Mei
Yucheng Han
Yutong Bai
Yixiao Zhang
Yingwei Li
Xianhang Li
Alan Yuille
Cihang Xie
AAML
31
8
0
21 Apr 2022
Optical Remote Sensing Image Understanding with Weak Supervision:
  Concepts, Methods, and Perspectives
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
22
44
0
18 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
29
4
0
18 Apr 2022
ECCV Caption: Correcting False Negatives by Collecting
  Machine-and-Human-verified Image-Caption Associations for MS-COCO
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
Sanghyuk Chun
Wonjae Kim
Song Park
Minsuk Chang
Seong Joon Oh
VLM
378
43
0
07 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image
  Classification
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
30
22
0
07 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
58
320
0
06 Apr 2022
Proper Reuse of Image Classification Features Improves Object Detection
Proper Reuse of Image Classification Features Improves Object Detection
C. N. Vasconcelos
Vighnesh Birodkar
Vincent Dumoulin
VLM
25
32
0
01 Apr 2022
Exploring Visual Prompts for Adapting Large-Scale Models
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng
Ali Jahanian
S. Sankaranarayanan
Phillip Isola
VLM
VPVLM
LRM
27
256
0
31 Mar 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
27
28
0
30 Mar 2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
16
23
0
30 Mar 2022
Interactive Multi-Class Tiny-Object Detection
Interactive Multi-Class Tiny-Object Detection
C. Lee
Seonwook Park
Heon Song
Jeongun Ryu
Sanghoon Kim
Haejoon Kim
Sérgio Pereira
Donggeun Yoo
30
24
0
29 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
30
0
0
28 Mar 2022
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari
Yu-xiong Wang
Deva Ramanan
Shu Kong
MQ
25
141
0
27 Mar 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
45
1,538
0
23 Mar 2022
Boost Test-Time Performance with Closed-Loop Inference
Boost Test-Time Performance with Closed-Loop Inference
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Guanghui Xu
Haokun Li
Peilin Zhao
Junzhou Huang
Yaowei Wang
Mingkui Tan
62
3
0
21 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
32
8
0
21 Mar 2022
Towards 3D Scene Understanding by Referring Synthetic Models
Towards 3D Scene Understanding by Referring Synthetic Models
Runnan Chen
Xinge Zhu
Nenglun Chen
Dawei Wang
Wei Li
Yuexin Ma
Ruigang Yang
Wenping Wang
3DPC
35
6
0
20 Mar 2022
Creating Multimedia Summaries Using Tweets and Videos
Creating Multimedia Summaries Using Tweets and Videos
Anietie U Andy
Siyi Liu
Daphne Ippolito
Reno Kriz
Chris Callison-Burch
Derry Wijaya
25
0
0
16 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
47
7
0
16 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
39
19
0
15 Mar 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark
  for Semantic and Generative Capabilities
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Hsiang-Sheng Tsai
Heng-Jui Chang
Wen-Chin Huang
Zili Huang
Kushal Lakhotia
...
Hsuan-Jui Chen
Shang-Wen Li
Shinji Watanabe
Abdel-rahman Mohamed
Hung-yi Lee
31
109
0
14 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
27
3
0
11 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
59
924
1
10 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
Xiaojuan Qi
37
36
0
10 Mar 2022
Efficient Image Representation Learning with Federated Sampled Softmax
Efficient Image Representation Learning with Federated Sampled Softmax
Sagar M. Waghmare
Qi
Huizhong Chen
Mikhail Sirotenko
Tomer Meron
FedML
19
2
0
09 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
33
49
0
07 Mar 2022
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy
  for Image Recognition without Convolutions
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions
Ruikang Ju
Ting-Yu Lin
Jen-Shiun Chiang
Jia-Hao Jian
Yu-Shian Lin
Liu-Rui-Yi Huang
ViT
16
1
0
02 Mar 2022
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation
  Models
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models
Jingwei Zhuo
Binda Liu
Xiang Li
Ziru Xu
Xiaoqiang Zhu
11
0
0
28 Feb 2022
Synergistic Network Learning and Label Correction for Noise-robust Image
  Classification
Synergistic Network Learning and Label Correction for Noise-robust Image Classification
Chen Gong
K. Bin
E. Seibel
Xin Wang
Youbing Yin
Qi Song
NoLa
35
2
0
27 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
216
43
0
24 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alex Long
Wei Yin
Thalaiyasingam Ajanthan
Vu-Linh Nguyen
Pulak Purkait
Ravi Garg
Alan Blair
Chunhua Shen
Anton Van Den Hengel
21
107
0
22 Feb 2022
Tripartite: Tackle Noisy Labels by a More Precise Partition
Tripartite: Tackle Noisy Labels by a More Precise Partition
Xuefeng Liang
Longshan Yao
Xingyu Liu
Ying Zhou
NoLa
26
9
0
19 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
28
110
0
16 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature
  Extractors
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Priya Goyal
Adriana Romero Soriano
C. Hazirbas
Levent Sagun
Nicolas Usunier
EGVM
27
31
0
15 Feb 2022
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with
  Omni Retrieval
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
Licheng Yu
Jun Chen
Animesh Sinha
Mengjiao MJ Wang
Hugo Chen
Tamara L. Berg
Ning Zhang
VLM
33
39
0
15 Feb 2022
ASC me to Do Anything: Multi-task Training for Embodied AI
ASC me to Do Anything: Multi-task Training for Embodied AI
Jiasen Lu
Jordi Salvador
Roozbeh Mottaghi
Aniruddha Kembhavi
41
3
0
14 Feb 2022
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training
  Benchmark
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
Jiaxi Gu
Xiaojun Meng
Guansong Lu
Lu Hou
Minzhe Niu
...
Runhu Huang
Wei Zhang
Xingda Jiang
Chunjing Xu
Hang Xu
VLM
53
88
0
14 Feb 2022
Learning Weakly-Supervised Contrastive Representations
Learning Weakly-Supervised Contrastive Representations
Yao-Hung Hubert Tsai
Tianqi Li
Weixin Liu
Pei-Kai Liao
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
22
9
0
14 Feb 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
FedML
22
31
0
14 Feb 2022
Dataset Condensation with Contrastive Signals
Dataset Condensation with Contrastive Signals
Saehyung Lee
Sanghyuk Chun
Sangwon Jung
Sangdoo Yun
Sung-Hoon Yoon
DD
16
97
0
07 Feb 2022
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations
  (CGL)
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
Binoy Saha
Sukhendu Das
22
1
0
05 Feb 2022
Auto-Transfer: Learning to Route Transferrable Representations
Auto-Transfer: Learning to Route Transferrable Representations
K. Murugesan
Vijay Sadashivaiah
Ronny Luss
Karthikeyan Shanmugam
Pin-Yu Chen
Amit Dhurandhar
AAML
51
5
0
02 Feb 2022
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning
C. Albrecht
F. Marianno
L. Klein
VLM
27
12
0
31 Jan 2022
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of
  Peripherals
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
Weidong Cao
Yilong Zhao
Adith Boloor
Yinhe Han
Xuan Zhang
Li Jiang
31
19
0
30 Jan 2022
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