Learning with Limited and Imperfect Data

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Official YouTube channel for the Learning with Limited and Imperfect Data Workshop @ CVPR 2021. l2id.github.io/

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L2ID @ ECCV 2022 Introduction

L2ID @ ECCV 2022 Introduction Learning with Limited and Imperfect Data

631 views - 3 years ago

Boyi Li: SITTA: Single Image Texture Translation for Data Augmentation

Boyi Li: SITTA: Single Image Texture Translation for Data Augmentation Learning with Limited and Imperfect Data

441 views - 3 years ago

Boshen Zhang: Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

Boshen Zhang: Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Learning with Limited and Imperfect Data

344 views - 3 years ago

Sukmin Yun: OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data

Sukmin Yun: OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Learning with Limited and Imperfect Data

398 views - 3 years ago

Holger Caesar: Autonomous vehicles from imperfect and limited labels

Holger Caesar: Autonomous vehicles from imperfect and limited labels Learning with Limited and Imperfect Data

368 views - 3 years ago

Yu Cheng: Towards data efficient vision-language (VL) models

Yu Cheng: Towards data efficient vision-language (VL) models Learning with Limited and Imperfect Data

272 views - 3 years ago

SangYun Lee: Learning Multiple Probabilistic Degradation Generators for Unsupervised Superresolution

SangYun Lee: Learning Multiple Probabilistic Degradation Generators for Unsupervised Superresolution Learning with Limited and Imperfect Data

115 views - 3 years ago

Rabab Abdelfattah: PLMCL: Partial-Label Momentum Curriculum Learning for Multi-label Classification

Rabab Abdelfattah: PLMCL: Partial-Label Momentum Curriculum Learning for Multi-label Classification Learning with Limited and Imperfect Data

121 views - 3 years ago

Nir Zabari: Open-Vocabulary Semantic Segmentation using Test-Time Distillation

Nir Zabari: Open-Vocabulary Semantic Segmentation using Test-Time Distillation Learning with Limited and Imperfect Data

280 views - 3 years ago

Niv Cohen: "This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Niv Cohen: "This is my unicorn, Fluffy": Personalizing frozen vision-language representations Learning with Limited and Imperfect Data

163 views - 3 years ago

Hamza Khan: Timestamp-Supervised Action Segmentation with Graph Convolutional Networks

Hamza Khan: Timestamp-Supervised Action Segmentation with Graph Convolutional Networks Learning with Limited and Imperfect Data

76 views - 3 years ago

Jiageng Zhu: SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping

Jiageng Zhu: SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Learning with Limited and Imperfect Data

182 views - 3 years ago

Niv Cohen: Out-of-Distribution Detection Without Class Labels

Niv Cohen: Out-of-Distribution Detection Without Class Labels Learning with Limited and Imperfect Data

427 views - 3 years ago

Andong Tan: Unsupervised Adaptive Object Detection with Class Label Shift Weighted Local Features

Andong Tan: Unsupervised Adaptive Object Detection with Class Label Shift Weighted Local Features Learning with Limited and Imperfect Data

112 views - 3 years ago

Leonid Karlinsky: Different facets of limited supervision

Leonid Karlinsky: Different facets of limited supervision Learning with Limited and Imperfect Data

373 views - 3 years ago

Vadim Sushko: One-Shot Synthesis of Images and Segmentation Masks

Vadim Sushko: One-Shot Synthesis of Images and Segmentation Masks Learning with Limited and Imperfect Data

293 views - 3 years ago

Bharath Hariharan: When life gives you lemons: Making lemonade from limited labels

Bharath Hariharan: When life gives you lemons: Making lemonade from limited labels Learning with Limited and Imperfect Data

305 views - 3 years ago

Abhay Rawat: Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection

Abhay Rawat: Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection Learning with Limited and Imperfect Data

288 views - 3 years ago

Ruiwen Li: TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Segmentation

Ruiwen Li: TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Segmentation Learning with Limited and Imperfect Data

288 views - 3 years ago

Ishan Misra: General purpose visual recognition across modalities with limited supervision

Ishan Misra: General purpose visual recognition across modalities with limited supervision Learning with Limited and Imperfect Data

883 views - 3 years ago

Sharon Li: How to Handle Data Shifts? Challenges, Research Progress and Path Forward

Sharon Li: How to Handle Data Shifts? Challenges, Research Progress and Path Forward Learning with Limited and Imperfect Data

543 views - 3 years ago

Xiuye Gu: Open-Vocabulary Detection and Segmentation

Xiuye Gu: Open-Vocabulary Detection and Segmentation Learning with Limited and Imperfect Data

1.4K views - 3 years ago

Yinfei Yang: Learning Visual and Vision-Language Model With Noisy Image Text Pairs

Yinfei Yang: Learning Visual and Vision-Language Model With Noisy Image Text Pairs Learning with Limited and Imperfect Data

272 views - 3 years ago

L2ID CVPR2021 Panel Sessions - Part 2

L2ID CVPR2021 Panel Sessions - Part 2 Learning with Limited and Imperfect Data

117 views - 5 years ago

L2ID CVPR2021 Panel Sessions - Part 3

L2ID CVPR2021 Panel Sessions - Part 3 Learning with Limited and Imperfect Data

119 views - 5 years ago

L2ID CVPR2021 Panel Sessions - Part 1

L2ID CVPR2021 Panel Sessions - Part 1 Learning with Limited and Imperfect Data

166 views - 5 years ago

A Causal View of Compositional Zero Shot Recognition

A Causal View of Compositional Zero Shot Recognition Learning with Limited and Imperfect Data

100 views - 5 years ago

Cluster-driven Graph Federated Learning over Multiple Domains

Cluster-driven Graph Federated Learning over Multiple Domains Learning with Limited and Imperfect Data

261 views - 5 years ago

Rethinking Ensemble Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation

Rethinking Ensemble Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation Learning with Limited and Imperfect Data

153 views - 5 years ago

ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement

ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement Learning with Limited and Imperfect Data

418 views - 5 years ago

One Shot GAN learning to generate samples from Single Images and Videos

One Shot GAN learning to generate samples from Single Images and Videos Learning with Limited and Imperfect Data

2.8K views - 5 years ago

Unlocking the Full Potential of Small Datawith Diverse Supervision

Unlocking the Full Potential of Small Datawith Diverse Supervision Learning with Limited and Imperfect Data

38 views - 5 years ago

A Simple Framework for Cross-Domain Few-Shot Recognition with Unlabeled Data

A Simple Framework for Cross-Domain Few-Shot Recognition with Unlabeled Data Learning with Limited and Imperfect Data

228 views - 5 years ago

Weak Multi-View Supervision for Surface Mapping Estimation

Weak Multi-View Supervision for Surface Mapping Estimation Learning with Limited and Imperfect Data

38 views - 5 years ago

ReMP Rectified Metric Propagation for Few Shot Learning

ReMP Rectified Metric Propagation for Few Shot Learning Learning with Limited and Imperfect Data

56 views - 5 years ago

BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains

BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains Learning with Limited and Imperfect Data

67 views - 5 years ago

Dina Katabi - Making Contrastive Learning Robust to Shortcuts and Generalize it to New Modalities

Dina Katabi - Making Contrastive Learning Robust to Shortcuts and Generalize it to New Modalities Learning with Limited and Imperfect Data

641 views - 5 years ago

Sanja Fidler - Image GANs for Reducing Pixel-Wise Supervision

Sanja Fidler - Image GANs for Reducing Pixel-Wise Supervision Learning with Limited and Imperfect Data

768 views - 5 years ago

Efficient Pre trained Features and Recurrent Pseudo Labeling in Unsupervised Domain Adaptation

Efficient Pre trained Features and Recurrent Pseudo Labeling in Unsupervised Domain Adaptation Learning with Limited and Imperfect Data

277 views - 5 years ago

One shot action recognition in challenging therapy scenarios

One shot action recognition in challenging therapy scenarios Learning with Limited and Imperfect Data

45 views - 5 years ago

Humphrey Shi - Escaping the Big Data Paradigm with Compact Transformers

Humphrey Shi - Escaping the Big Data Paradigm with Compact Transformers Learning with Limited and Imperfect Data

2.1K views - 5 years ago

Anurag Arnab - Video Understanding with Imperfect Data

Anurag Arnab - Video Understanding with Imperfect Data Learning with Limited and Imperfect Data

316 views - 5 years ago

Trevor Darrell - Recent Progress on Unsupervised Detection and Adaptation

Trevor Darrell - Recent Progress on Unsupervised Detection and Adaptation Learning with Limited and Imperfect Data

1.2K views - 5 years ago

Unsupervised Discriminative Embedding for Sub Action Learning in Complex Activities

Unsupervised Discriminative Embedding for Sub Action Learning in Complex Activities Learning with Limited and Imperfect Data

128 views - 5 years ago

Learning Unbiased Representations via Mutual Information Backpropagation

Learning Unbiased Representations via Mutual Information Backpropagation Learning with Limited and Imperfect Data

212 views - 5 years ago

Domain Agnostic Score Based Meta Learning

Domain Agnostic Score Based Meta Learning Learning with Limited and Imperfect Data

40 views - 5 years ago

Boosting Co teaching with Compression Regularization for Label Noise Poster

Boosting Co teaching with Compression Regularization for Label Noise Poster Learning with Limited and Imperfect Data

166 views - 5 years ago

Adversarial Open Domain Adaption for Sketch to Photo Synthesis

Adversarial Open Domain Adaption for Sketch to Photo Synthesis Learning with Limited and Imperfect Data

215 views - 5 years ago

Batch Normalization Embeddings for Deep Domain Generalization

Batch Normalization Embeddings for Deep Domain Generalization Learning with Limited and Imperfect Data

1K views - 5 years ago

Improving Semi Supervised Domain Adaptation Using Effective Target Selection and Semantics

Improving Semi Supervised Domain Adaptation Using Effective Target Selection and Semantics Learning with Limited and Imperfect Data

246 views - 5 years ago

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding Learning with Limited and Imperfect Data

219 views - 5 years ago

TAEN Temporal aware embedding network for few shot action recognition

TAEN Temporal aware embedding network for few shot action recognition Learning with Limited and Imperfect Data

170 views - 5 years ago

Training Rare Object Detection in Satellite Imagery with Synthetic GAN Images

Training Rare Object Detection in Satellite Imagery with Synthetic GAN Images Learning with Limited and Imperfect Data

671 views - 5 years ago

Olga Russakovsky - Mitigating bias and privacy concerns in visual data

Olga Russakovsky - Mitigating bias and privacy concerns in visual data Learning with Limited and Imperfect Data

263 views - 5 years ago

Training Deep Generative Models in Highly Incomplete Data Scenarios with Prior Regularization

Training Deep Generative Models in Highly Incomplete Data Scenarios with Prior Regularization Learning with Limited and Imperfect Data

96 views - 5 years ago

Shot in the Dark Few Shot Learning with No Base Class Labels

Shot in the Dark Few Shot Learning with No Base Class Labels Learning with Limited and Imperfect Data

74 views - 5 years ago

PLM Partial Label Masking for Imbalanced Multi label Classification

PLM Partial Label Masking for Imbalanced Multi label Classification Learning with Limited and Imperfect Data

716 views - 5 years ago

Distill on the Go Online knowledge distillation in self supervised learning

Distill on the Go Online knowledge distillation in self supervised learning Learning with Limited and Imperfect Data

263 views - 5 years ago

Contrastive Learning Improves Model Robustness Under Label Noise

Contrastive Learning Improves Model Robustness Under Label Noise Learning with Limited and Imperfect Data

594 views - 5 years ago

An Exploration into why Output Regularization Mitigates Label Noise

An Exploration into why Output Regularization Mitigates Label Noise Learning with Limited and Imperfect Data

71 views - 5 years ago