Context based object categorization: A critical survey

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Multimodal context modeling and classification using TBM

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A Novel Method for Exploring Patch-level Context to Improve Image Categorization Performance

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Graspable Parts Recognition in Man-Made 3D Shapes

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Contextual Co-occurrence Information for Object Representation and Categorization

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A Puzzle-Based Tool to Study Individualized Perception Reactions for Children with Autism

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CATEGORY-LEVEL VISUAL OBJECT RECOGNITION USING NOVEL MACHINE LEARNING TECHNIQUES

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Scene Classification Using External Knowledge Source

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Face and Object Recognition Using Biological Features and Few Views

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Personentracking in Luftbildsequenzen

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Boundary-based object segmentation in X-ray imaging using spiral search

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Image Classification through Text Mining techniques: a Proposal

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Assigning Relative Importance to Scene Elements

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Accelerating decision making under partial observability using learned action priors

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Prototype analysis of different object recognition techniques in image processing

Neelima, N., Srikrishna, A., & Rao, K. G. (2017) · International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) · doi:10.1109/icecds.2017.8389982

Cascade-Dispatched Classifier Ensemble and Regressor for Pedestrian Detection

Trichet, R., & Brémond, F. (2018) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2018.8639170

Memory lane

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CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic

Liu, Y., Cui, Z., Zhang, T., Leng, J., Xie, W., & Liang, Z. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22750-0_64

Higher-order Network for Action RecognitionPreprint

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Interactive Open-Ended Learning for 3D Object RecognitionPreprint

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A Context Aware Deep Learning Architecture for Object Detection.

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Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object DetectorsPreprint

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Adding Context Information to Video Analysis for Surveillance Applications

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Leveraging Model Flexibility and Deep Structure: Non-Parametric and Deep Models for Computer Vision Processes with Applications to Deep Model Compression

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Deep learning for real-world object detection

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Characterization of Objects in Indoor Spaces of Human Occupation Using Knowledge Graphs

Francisco, R., & Molero-Castillo, G. G. (2020) · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · doi:10.1109/cce50788.2020.9299136

Multi-scale ship target detection in remote sensing images

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Boosting the Performance of Object Detection CNNs with Context-Based Anomaly Detection

Blaha, J., Broughton, G., & Krajník, T. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-67537-0_11

Feature extraction and analysis for 3D point cloud-based object recognition

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Study on Partial Image Detection for Drawing—Focus on Unstructured Images Included in the Main Image

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Hybrid machine learning approaches for scene understanding: From segmentation and recognition to image parsing

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Proximal Policy Optimization for Radiation Source Search

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Content and Context

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Ocean Remote Sensing with Synthetic Aperture Radar

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Context-Based Scene Understanding

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Personentracking in Luftbildsequenzen

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Methods of Recognition and Classification of Objects in Digital Logistics

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Four Points that Provide a Solution in Railway Line Detection and Tracking

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Measuring the Impact of Scene Level Objects: A Novel Method for Quantitative Explanations

Vonderhaar, L., Elvira, T., & Ochoa, O. (2025) · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · doi:10.32473/flairs.38.1.138922

Common issues and human intervention in object detection from handcrafted features to deep learning: discussion

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Computational Methods for Mild Traumatic Brain Injury

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Enhancing spatial-semantic coherence of 3D visual grounding via spatial-aware encoder and target refinement

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Context Dropout: A Novel Method to Reduce Contextual Reliance in Object Detection

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Apprentissage statistique de classes sémantiques pour l'interprétation d'images aériennes

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Modélisation spatio-temporelle multi-niveau à base d'ontologies pour le suivi de la dynamique en imagerie satellitaire

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Learning objects model and context for recognition and localisation

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Context-aware person recognition in TV programs

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Integration of contextual knowledge in deep Learning modeling for vision-based scene analysis

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Holi-DETR: holistic fashion item detection leveraging contextual information

Kwon, Y., Choi, J. R., & Kim, I. (2026) · Neural Computing and Applications · doi:10.1007/s00521-026-12030-1

Contemplating Context in Effective Environmental Impact Assessment (EIA) ImplementationPreprint

Olorundami, T., & Gazzola, P. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6582661

Successful Application of Deep Learning to Biosecurity Surveillance: A Systematic Approach Using the Asian House Gecko, Hemidactylus frenatus as a Case Study

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Modeling the performance of a context-based object classifier

Carlotto, M. J. (2026) · Signal processing, sensor fusion, and target recognition. Conference · doi:10.1117/12.3114405

Multiple Region Categorization for Scenery Images

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An Analysis of Object Appearance Information and Context Based Classification

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A unified context assessing model for object categorization

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Mixing Hierarchical Contexts for Object Recognition

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Objects in context

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Non-parametric context-based object classification in images

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