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Computer Vision
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Analysis
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Object Detection
4772 directly classified papers
Papers per year
2006: 14
2007: 13
2008: 11
2009: 13
2010: 12
2011: 21
2012: 26
2013: 176
2014: 87
2015: 161
2016: 109
2017: 143
2018: 145
2019: 383
2020: 392
2021: 576
2022: 489
2023: 683
2024: 568
2025: 590
2026: 160
Papers
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
NIPS 2009
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
NIPS 2009
Region-based Segmentation and Object Detection
NIPS 2009
Structured output regression for detection with partial truncation
NIPS 2009
Individuation, Identification and Object Discovery
NIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition
NIPS 2009
3D Object Recognition with Deep Belief Nets
NIPS 2009
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
NIPS 2009
Learning models of object structure
NIPS 2009
Dimensionality Reduction for Data in Multiple Feature Representations
NIPS 2008
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
NIPS 2008
Recursive Segmentation and Recognition Templates for 2D Parsing
NIPS 2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
NIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
NIPS 2008
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
NIPS 2008
Shape-Based Object Localization for Descriptive Classification
NIPS 2008
Probabilistic Models of Object Geometry for Grasp Planning
RSS 2008
Prior Data and Kernel Conditional Random Fields for Obstacle Detection
RSS 2008
Using Recognition to Guide a Robot's Attention
RSS 2008
Classifying Dynamic Objects: An Unsupervised Learning Approach
RSS 2008
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
JMLR 2007
Learning Equivariant Functions with Matrix Valued Kernels
JMLR 2007
The Pyramid Match Kernel: Efficient Learning with Sets of Features
JMLR 2007
The discriminant center-surround hypothesis for bottom-up saliency
NIPS 2007
Predicting human gaze using low-level saliency combined with face detection
NIPS 2007
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