Regionlets for Generic Object Detection

ImageNet classification with deep convolutional neural networks

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Gradient-based learning applied to document recognition

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Distinctive Image Features from Scale-Invariant Keypoints

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Histograms of Oriented Gradients for Human Detection

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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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Robust Real-Time Face Detection

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Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

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Large Scale Distributed Deep Networks

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A discriminatively trained, multiscale, deformable part model

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OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

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Improved boosting algorithms using confidence-rated predictions

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Face Recognition with Local Binary Patterns

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Improved Boosting Algorithms Using Confidence-rated Predictions

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An HOG-LBP human detector with partial occlusion handling

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Pedestrian detection: A benchmark

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Measuring the Objectness of Image Windows

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Scalable Object Detection Using Deep Neural Networks

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TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

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BING: Binarized Normed Gradients for Objectness Estimation at 300fps

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Cascade object detection with deformable part models

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What is an object?

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Segmentation as selective search for object recognition

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Integral histogram: a fast way to extract histograms in Cartesian spaces

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Pedestrian detection at 100 frames per second

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Human Detection via Classification on Riemannian Manifolds

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Constrained parametric min-cuts for automatic object segmentation

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Detecting People Using Mutually Consistent Poselet Activations

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Combining efficient object localization and image classification

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Discriminative models for multi-class object layout

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Latent hierarchical structural learning for object detection

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Crosstalk Cascades for Frame-Rate Pedestrian Detection

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Contextualizing object detection and classification

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Learning a category independent object detection cascade

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Bottom-Up Segmentation for Top-Down Detection

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A coarse-to-fine approach for fast deformable object detection

Pedersoli, M., Vedaldi, A., & Gonzàlez, J. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995668 · Cited by 122 · see citing works

Segmentation Driven Object Detection with Fisher Vectors

Cinbiş, R. G., Verbeek, J. J., & Schmid, C. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.369 · Cited by 118 · see citing works

Object recognition as ranking holistic figure-ground hypotheses

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Proposal generation for object detection using cascaded ranking SVMs

Zhang, Z., Warrell, J., & Torr, P. H. S. (2011) · doi:10.1109/cvpr.2011.5995411 · Cited by 99 · see citing works

Boosting nested cascade detector for multi-view face detection

Huang, C., Ai, H., Wu, B., & Lao, S. (2012) · Cited by 96 · see citing works

Boosting nested cascade detector for multi-view face detection

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Contextual boost for pedestrian detection

Ding, Y., & Xiao, J. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6248016 · Cited by 69 · see citing works

Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound

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An efficient divide-and-conquer cascade for nonlinear object detection

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Extracting adaptive contextual cues from unlabeled regions

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Contextual Object Detection Using Set-Based Classification

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2389824 · Cited by 11,971 · see citing works

Computer Vision for Autonomous Vehicles

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Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

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Application of Deep Learning for Object Detection

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Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

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SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection

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Deep Learning Approach for Car Detection in UAV Imagery

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Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

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Multimodal vehicle detection: fusing 3D-LIDAR and color camera data

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A closer look at Faster R-CNN for vehicle detection

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From Handcrafted to Deep Features for Pedestrian Detection: A Survey

Cao, J., Pang, Y., Xie, J., Khan, F. S., & Shao, L. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3076733 · Cited by 164 · see citing works

Object Detection Based on Multi-Layer Convolution Feature Fusion and Online Hard Example Mining

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A Recurrent Encoder-Decoder Network for Sequential Face Alignment

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A Modified CFAR Algorithm Based on Object Proposals for Ship Target Detection in SAR Images

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Track to Reconstruct and Reconstruct to Track

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Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems

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Learning to Detect Vehicles by Clustering Appearance Patterns

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Two-Stream Transformer Networks for Video-Based Face Alignment

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Multi-View and 3D Deformable Part Models

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Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks

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Deep Regionlets for Object Detection

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Faster RCNN‐based detection of cervical spinal cord injury and disc degeneration

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Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry

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Survey of robotic manipulation studies intending practical applications in real environments -object recognition, soft robot hand, and challenge program and benchmarking-

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Multistage Object Detection With Group Recursive Learning

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A PSO and BFO-Based Learning Strategy Applied to Faster R-CNN for Object Detection in Autonomous Driving

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Deep learning and case-based reasoning for predictive and adaptive traffic emergency management

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Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

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S-CNN: Subcategory-Aware Convolutional Networks for Object Detection

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Structural Constraint Data Association for Online Multi-object Tracking

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DetectFormer: Category-Assisted Transformer for Traffic Scene Object Detection

Liang, T., Bao, H., Pan, W., Fan, X., & Li, H. (2022) · Sensors · doi:10.3390/s22134833 · Cited by 34 · see citing works

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

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Class-specific object proposals re-ranking for object detection in automatic driving

Zhong, Z., Lei, M., Cao, D., Jianping Fan, B., & Li, S. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.068 · Cited by 31 · see citing works

Image-Processing-Based Subway Tunnel Crack Detection System

Liu, X., Hong, Z., Shi, W., & Guo, X. (2023) · Sensors · doi:10.3390/s23136070 · Cited by 29 · see citing works

Intelligent Video Data Security: A Survey and Open Challenges

Yu, J.-Y., Kim, Y., & Kim, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3057605 · Cited by 28 · see citing works

Fast and Lightweight Object Detection Network: Detection and Recognition on Resource Constrained Devices

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Deep Learning Approaches for Detecting Objects from Images: A Review

Pathak, A. R., Pandey, M., & Rautaray, S. S. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-7871-2_47 · Cited by 27 · see citing works

Robust obstacle detection for advanced driver assistance systems using distortions of inverse perspective mapping of a monocular camera

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ALODAD: An Anchor-Free Lightweight Object Detector for Autonomous Driving

Liang, T., Bao, H., Pan, W., & Pan, F. (2022) · IEEE Access · doi:10.1109/access.2022.3166923 · Cited by 27 · see citing works

A hybridization of deep learning techniques to predict and control traffic disturbances

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Occlusion Pattern Discovery for Object Detection and Occlusion Reasoning

Zhou, C., & Yuan, J. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2019.2909982 · Cited by 26 · see citing works

S3D: Scalable Pedestrian Detection via Score Scale Surface Discrimination

Wang, X., Liang, C., Chen, C., Chen, J., Wang, Z., Han, Z., & Xiao, C. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2019.2913114 · Cited by 25 · see citing works

An improved target detection method based on multiscale features fusion

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Surface Defect Detection with Modified Real-Time Detector YOLOv3

Wang, Z., Zhu, H., Jia, X., Bao, Y., & Wang, C. (2022) · Journal of Sensors · doi:10.1155/2022/8668149 · Cited by 24 · see citing works

RED-Net: A Recurrent Encoder–Decoder Network for Video-Based Face Alignment

Peng, X., Feris, R., Wang, X., & Metaxas, D. (2018) · International Journal of Computer Vision · doi:10.1007/s11263-018-1095-1 · Cited by 23 · see citing works

Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers

Jiang, Z., Sun, S., Peng, H. J., Liu, Z., & Wang, J. (2024) · International Journal of Neural Systems · doi:10.1142/s0129065724500357 · Cited by 18 · see citing works

Online multiple object tracking via flow and convolutional features

Wang, L., Xu, L., Kim, M. Y., Rigazico, L., & Yang, M. (2017) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2017.8296959 · Cited by 17 · see citing works

Real-Time Fuel Truck Detection Algorithm Based on Deep Convolutional Neural Network

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Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios

Liu, J., Cao, X., Li, Y., & Zhang, B. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2750058 · Cited by 16 · see citing works

Discriminative latent semantic feature learning for pedestrian detection

Zhu, C., & Peng, Y. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.01.043 · Cited by 15 · see citing works

Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos

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Two‐stage 3D model‐based UAV pose estimation: A comparison of methods for optimization

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Selective Search and Intensity Context Based Retina Vessel Image Segmentation

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Multi-Object Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association

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Online process phase detection using multimodal deep learning

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Improving multi-class Boosting-based object detection

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Learning a Layout Transfer Network for Context Aware Object Detection

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You always look again: Learning to detect the unseen objects

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Object detection based on BING in optical remote sensing images

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YADA: you always dream again for better object detection

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Efficient Global MOT Under Minimum-Cost Circulation Framework

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