mlsanityData to 7 Oct 2026

Places: An Image Database for Deep Scene Understanding

arXiv 1610.02055 ↗First posted 6 Oct 2016cs.CV cs.AIcited by 76

Not on the map. Why?

Abstract (arXiv)

The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification at tasks such as object and scene recognition. Here we describe the Places Database, a repository of 10 million scene photographs, labeled with scene semantic categories and attributes, comprising a quasi-exhaustive list of the types of environments encountered in the world. Using state of the art Convolutional Neural Networks, we provide impressive baseline performances at scene classification. With its high-coverage and high-diversity of exemplars, the Places Database offers an ecosystem to guide future progress on currently intractable visual recognition problems.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 13; 2023: 14; 2024: 15; 2025: 14; 2026: 9.

76 papers.

Sort:

By area:

  1. 2022Socratic Models: Composing Zero-Shot Multimodal Reasoning with Languagecited by 513
  2. 2023Interpreting CLIP's Image Representation via Text-Based Decompositioncited by 189
  3. 2021Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Trainingcited by 166
  4. 2022Offline Visual Representation Learning for Embodied Navigationcited by 74
  5. 2021Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Modelscited by 51
  6. 2021PASS: An ImageNet replacement for self-supervised pretraining without humanscited by 51
  7. 2024Balancing Act: Distribution-Guided Debiasing in Diffusion Modelscited by 50
  8. 2021SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpaintingcited by 48
  9. 2023NECO: NEural Collapse Based Out-of-distribution detectioncited by 41
  10. 2023Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolationcited by 38
  11. 2021INTERN: A New Learning Paradigm Towards General Visioncited by 33
  12. 2022Self-Supervised Learning via Maximum Entropy Codingcited by 33
38 more
  1. 2023Beyond Confidence: Reliable Models Should Also Consider Atypicalitycited by 25
  2. 2022Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergycited by 20
  3. 2025UniVG: A Generalist Diffusion Model for Unified Image Generation and Editingcited by 19
  4. 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capabilitycited by 16
  5. 2022Certified Defences Against Adversarial Patch Attacks on Semantic Segmentationcited by 15
  6. 2024Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detectioncited by 15
  7. 2023Masked Modeling for Self-supervised Representation Learning on Vision and Beyondcited by 13
  8. 2021Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wildcited by 12
  9. 2023Localized Symbolic Knowledge Distillation for Visual Commonsense Modelscited by 12
  10. 2024ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Modelscited by 12
  11. 2025Affective Image Editing: Shaping Emotional Factors via Text Descriptionscited by 11
  12. 2022Practical Network Acceleration with Tiny Setscited by 9
  13. 2022Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probingcited by 8
  14. 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlationscited by 8
  15. 2024FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performancecited by 7
  16. 2024Out-Of-Distribution Detection with Diversification (Provably)cited by 6
  17. 2021What Image Features Boost Housing Market Predictions?cited by 5
  18. 2022Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognitioncited by 5
  19. 2023Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimationcited by 5
  20. 2025SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Modelscited by 5
  21. 2021Pose-GNN : Camera Pose Estimation System Using Graph Neural Networkscited by 4
  22. 2022Content-based Graph Privacy Advisorcited by 4
  23. 2023Human-interpretable and deep features for image privacy classificationcited by 4
  24. 2024Your Classifier Can Be Secretly a Likelihood-Based OOD Detectorcited by 4
  25. 2024Margin-bounded Confidence Scores for Out-of-Distribution Detectioncited by 4
  26. 2024Out-of-Distribution Detection with Prototypical Outlier Proxycited by 4
  27. 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detectioncited by 4
  28. 2025The Impact of Coreset Selection on Spurious Correlations and Group Robustnesscited by 4
  29. 2024Optimizing importance weighting in the presence of sub-population shiftscited by 3
  30. 2025Preserving Task-Relevant Information Under Linear Concept Removalcited by 3
  31. 2026IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignmentcited by 3
  32. 2021Urban land-use analysis using proximate sensing imagery: a surveycited by 2
  33. 2023Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithmcited by 2
  34. 2023Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learningcited by 2
  35. 2024FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detectioncited by 2
  36. 2025Benchmarking Large and Small MLLMscited by 2
  37. 2025MedicalNarratives: Connecting Medical Vision and Language with Localized Narrativescited by 2
  38. 2025Learning Privacy from Visual Entitiescited by 2

50 most cited of 76 All 76 (JSON)