mlsanityData to 14 Oct 2026

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

arXiv 1611.06430 ↗First posted 19 Nov 2016cs.CVcited by 19

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Abstract (arXiv)

We introduce a simple semi-supervised learning approach for images based on in-painting using an adversarial loss. Images with random patches removed are presented to a generator whose task is to fill in the hole, based on the surrounding pixels. The in-painted images are then presented to a discriminator network that judges if they are real (unaltered training images) or not. This task acts as a regularizer for standard supervised training of the discriminator. Using our approach we are able to directly train large VGG-style networks in a semi-supervised fashion. We evaluate on STL-10 and PASCAL datasets, where our approach obtains performance comparable or superior to existing methods.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Nov 2016.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 1; 2024: 3; 2025: 2; 2026: 1.

19 papers.

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  1. 2021A Survey on Deep Semi-supervised Learningcited by 251
  2. 2022USB: A Unified Semi-supervised Learning Benchmark for Classificationcited by 95
  3. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  4. 2022Self-Supervised Masking for Unsupervised Anomaly Detection and Localizationcited by 43
  5. 2021CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learningcited by 41
  6. 2021Revisiting Consistency Regularization for Semi-Supervised Learningcited by 34
  7. 2021A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensingcited by 13
  8. 2022Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completioncited by 5
  9. 2024Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervisioncited by 3
  10. 2024Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizingcited by 2
  11. 2021ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representationcited by 1
  12. 2021Deep Dive into Semi-Supervised ELBO for Improving Classification Performancecited by 0
7 more
  1. 2021RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Losscited by 0
  2. 2022Gradient Imitation Reinforcement Learning for General Low-Resource Information Extractioncited by 0
  3. 2023Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Modelscited by 0
  4. 2024Robust Loss Functions for Object Grasping under Limited Ground Truthcited by 0
  5. 2025SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognitioncited by 0
  6. 2025DiffuMural: Restoring Dunhuang Murals with Multi-scale Diffusioncited by 0
  7. 2026Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensingcited by 0