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Mutual Contrastive Learning for Visual Representation Learning

https://doi.org/10.1609/aaai.v36i3.20211

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_18openalex-snapshot

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

inferredcites →https://doi.org/10.1007/978-3-030-58526-6_2openalex-snapshot

Learning to Learn Parameterized Classification Networks for Scalable Input Images

inferredcites →https://doi.org/10.1007/978-3-030-58555-6_18openalex-snapshot

Knowledge Transfer via Dense Cross-Layer Mutual-Distillation

inferredcites →https://doi.org/10.1007/978-3-030-58621-8_45openalex-snapshot

Contrastive Multiview Coding

inferredcites →https://doi.org/10.1007/978-3-319-46466-4_5openalex-snapshot

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_40openalex-snapshot

Colorful Image Colorization

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1016/j.xinn.2021.100179openalex-snapshot

Artificial intelligence: A powerful paradigm for scientific research

inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot

Dimensionality Reduction by Learning an Invariant Mapping

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot

Context Encoders: Feature Learning by Inpainting

inferredcites →https://doi.org/10.1109/cvpr.2016.434openalex-snapshot

Deep Metric Learning via Lifted Structured Feature Embedding

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00393openalex-snapshot

Unsupervised Feature Learning via Non-parametric Instance Discrimination

inferredcites →https://doi.org/10.1109/cvpr.2018.00454openalex-snapshot

Deep Mutual Learning

inferredcites →https://doi.org/10.1109/cvpr.2019.00409openalex-snapshot

Relational Knowledge Distillation

inferredcites →https://doi.org/10.1109/cvpr.2019.00535openalex-snapshot

Ranked List Loss for Deep Metric Learning

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Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00663openalex-snapshot

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Self-Supervised Learning of Pretext-Invariant Representations

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot

Momentum Contrast for Unsupervised Visual Representation Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01103openalex-snapshot

Online Knowledge Distillation via Collaborative Learning

inferredcites →https://doi.org/10.1109/icassp39728.2021.9414664openalex-snapshot

Multi-View Contrastive Learning for Online Knowledge Distillation

inferredcites →https://doi.org/10.1109/iccv.2019.00511openalex-snapshot

Correlation Congruence for Knowledge Distillation

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1145/3474085.3475551openalex-snapshot

Dense Semantic Contrast for Self-Supervised Visual Representation Learning

inferredcites →https://doi.org/10.1145/3475723.3484252openalex-snapshot

Learning Positional Priors for Pretraining 2D Pose Estimators

inferredcites →https://doi.org/10.1609/aaai.v33i01.33015361openalex-snapshot

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

inferredcites →https://doi.org/10.1609/aaai.v34i04.5746openalex-snapshot

Online Knowledge Distillation with Diverse Peers

inferredcites →https://doi.org/10.1609/aaai.v34i07.6840openalex-snapshot

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

inferredcites →https://doi.org/10.1609/aaai.v34i07.6948openalex-snapshot

Gated Convolutional Networks with Hybrid Connectivity for Image Classification

inferredcites →https://doi.org/10.1609/aaai.v35i12.17234openalex-snapshot

Peer Collaborative Learning for Online Knowledge Distillation

inferredcites →https://doi.org/10.24963/ijcai.2021/168openalex-snapshot

Hierarchical Self-supervised Augmented Knowledge Distillation

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1703.07737openalex-snapshot

In Defense of the Triplet Loss for Person Re-Identification

inferredcites →https://doi.org/10.48550/arxiv.1805.11761openalex-snapshot

Collaborative Learning for Deep Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1806.04606openalex-snapshot

Knowledge Distillation by On-the-Fly Native Ensemble

inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot

Representation Learning with Contrastive Predictive Coding

inferredcites →https://doi.org/10.48550/arxiv.1906.05849openalex-snapshot

Contrastive Multiview Coding

inferredcites →https://doi.org/10.48550/arxiv.2001.01526openalex-snapshot

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

inferredcites →https://doi.org/10.48550/arxiv.2002.05709openalex-snapshot

A Simple Framework for Contrastive Learning of Visual Representations

inferredcites →https://doi.org/10.48550/arxiv.2003.04297openalex-snapshot

Improved Baselines with Momentum Contrastive Learning

inferredcites →https://doi.org/10.48550/arxiv.2004.11362openalex-snapshot

Supervised Contrastive Learning

inferredcites →https://doi.org/10.48550/arxiv.2006.04093openalex-snapshot

Multi-view Contrastive Learning for Online Knowledge Distillation

inferredcites →https://doi.org/10.48550/arxiv.2101.04731openalex-snapshot

SEED: Self-supervised Distillation For Visual Representation

inferredcites →https://doi.org/10.5244/c.30.87openalex-snapshot

Wide Residual Networks

inferredcites →https://doi.org/10.5555/1577069.1577078openalex-snapshot

Distance Metric Learning for Large Margin Nearest Neighbor Classification

inferredcites →https://doi.org/10.57702/iuuvgtazopenalex-snapshot

A simple framework for contrastive learning of visual representations

inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot

Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning

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Distilling Segmenters From CNNs and Transformers for Remote Sensing Images’ Semantic Segmentation

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SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection

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SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment

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miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings

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Mutual Contrastive Learning for Visual Representation Learning

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