- Bi-box Regression for Pedestrian Detection and Occlusion Estimation | paper
- Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground | paper
- Reverse Attention for Salient Object Detection | paper
- PSANet: Point-wise Spatial Attention Network for Scene Parsing | paper
- Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline | paper
- Unsupervised Hard Example Mining from Videos for Improved Object Detection | paper
- DetNet: Design Backbone for Object Detection | paper
- BiSeNet: Bilateral Segmentation Network for eal-time Semantic Segmentation | paper
- Visual-Inertial Object Detection and Mapping | paper
- Zero-Shot Object Detection | paper
- Contour Knowledge Transfer for Salient Object Detection | paper
- Weakly Supervised Region Proposal Network and Object Detection | paper
- Fully Motion-Aware Network for Video Object Detection | paper
- Deep Feature Pyramid Reconfiguration for Object Detection | paper
- Receptive Field Block Net for Accurate and Fast Object Detection | paper
- Parallel Feature Pyramid Network for Object Detection | paper
- TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection | paper
- Revisiting RCNN: On Awakening the Classification Power of Faster RCNN | paper
- SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection | paper
- Graininess-Aware Deep Feature Learning for Pedestrian Detection | paper
- (IOU-NET)Acquisition of Localization Confidence for Accurate Object Detection | paper
- Localization Recall Precision (LRP): A New Performance Metric for Object Detection | paper
- Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection | paper
- Deep Regionlets for Object Detection | paper
- Context Refinement for Object Detection | paper
- Quantization Mimic: Towards Very Tiny CNN for Object Detection | paper
- The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking | paper
- Learning Region Features for Object Detection | paper
- Deep Continuous Fusion for Multi-Sensor 3D Object Detection | paper
- PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track | paper
- DAC-SDC Low Power Object Detection Challenge for UAV Applications | paper
- Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector | paper
- MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection | paper
- Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing | paper
- Guiding the Creation of Deep Learning-based Object Detectors | paper
- Selective Refinement Network for High Performance Face Detection | paper
- Deep Learning for Generic Object Detection: A Survey | paper
- Faster RER-CNN: application to the detection of vehicles in aerial images | paper
- A Fast and Accurate System for Face Detection, Identification, and Verification | paper
- Faster Training of Mask R-CNN by Focusing on Instance Boundaries | paper
- Focal Loss in 3D Object Detection | paper
- Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection | paper
- Detection-by-Localization: Maintenance-Free Change Object Detector | paper
- Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection | paper | code
- Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment | paper
- CATDET: CASCADED TRACKED DETECTOR FOR EFFICIENT OBJECT DETECTION FROM VIDEO | paper
- Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving | paper
- One - Click Annotation with Guided Hierarchical Object Detection | paper
- Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection | paper | code
- Comparison Detector: A novel object detection method for small dataset | paper
- Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks | paper
- Spatiotemporal CNNs for Pornography Detection in Videos | paper
- Instance Segmentation and Object Detection with Bounding Shape Masks | paper
- MULTI-STAGE REINFORCEMENT LEARNING FOR OBJECT DETECTION | paper
- Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments | paper
- DSFD: Dual Shot Face Detector | paper
- GhostVLAD for set-based face recognition | paper
- Face Recognition from Sequential Sparse 3D data via Deep Registration | paper
- Fast and accurate object detection in high resolution 4K and 8K video using GPUs | paper
- Dual Refinement Network for Single-Shot Object Detection. | paper
- Occlusion-aware R-CNN:Detecting Pedestrians in a Crowd. | paper
- Visual Mesh: Real-time Object Detection Using Constant Sample Density | paper
- A Statistical Method for Object Counting. | paper
- Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. | paper
- Physical Adversarial Examples for Object Detectors. | paper
- Modeling Visual Context is Key to Augmenting Object Detection Datasets. | paper
- Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images. | paper
- DroNet: Efficient Convolutional Neural Network Detector for Real-Time UAV Applications. | paper
- Multicolumn Networks for Face Recognition. | paper
- Toward Scale-Invariance and Position-Sensitive Region Proposal Networks. | paper
- Acquisition of Localization Confidence for Accurate Object Detection. | paper
- ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. | paper
- Embedded Implementation of a Deep Learning Smile Detector. | paper
- Attention-based Pyramid Aggregation Network for Visual Place Recognition. | paper
- Geometry-Based Multiple Camera Head Detection in Dense Crowds. | paper
- Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. | paper
- SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection. | paper
- Motorcycle detection and classification in urban Scenarios using a model based on Faster R-CNN. | paper
- OBJECT DETECTION IN SATELLITE IMAGERY USING 2-STEP CONVOLUTIONAL NEURAL NETWORKS. | paper
- A Survey of Modern Object Detection Literature using Deep Learning. | paper
- Ensemble-based Adaptive Single-shot Multi-box Detector | paper
- Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks | paper | code
- MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. | paper
- Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data | paper
- Cross-Modal Attentional Context Learning for RGB-D Object Detection | paper
- Hybrid Knowledge Routed Modules for Large-scale Object Detection | paper | code
- Training Domain Specific Models for Energy-Efficient Object Detection | paper
- RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement | paper
- Strong-Weak Distribution Alignment for Adaptive Object Detection | paper
- IPOD: Intensive Point-based Object Detector for Point Cloud | paper
- FA-RPN: Floating Region Proposals for Face Detection | paper
- Few-shot Object Detection via Feature Reweighting | paper
- Anchor Box Optimization for Object Detection | paper
- Pedestrian Detection with Autoregressive Network Phases | paper
- Learning RoI Transformer for Detecting Oriented Objects in Aerial Images | paper
- NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection | paper
- Tube-CNN: Modeling temporal evolution of appearance for object detection in video | paper
- Deformable ConvNets v2: More Deformable, Better Results | paper
- Integrated Object Detection and Tracking with Tracklet-Conditioned Detection | paper
- Fast Object Detection in Compressed Video | paper
- Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection | paper
- Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector | paper
- Orthographic Feature Transform for Monocular 3D Object Detection | paper
- Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | paper
- Fast Efficient Object Detection Using Selective Attention | paper
- FotonNet: A HW-Efficient Object Detection System Using 3D-Depth Segmentation and 2D-DNN Classifier | paper
- R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy | paper
- DeRPN: Taking a further step toward more general object detection | paper
- RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement | paper |
- M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network - AAAI 2019 | paper |
- A Framework of Transfer Learning in Object Detection for Embedded Systems | paper |
- Gradient Harmonized Single-stage Detector - AAAI 2019 | paper |
- BAN: Focusing on Boundary Context for Object Detection | paper |
- Detect or Track: Towards Cost-Effective Video Object Detection/Tracking - AAAI 2019 | paper |
- YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers | paper |
- Development of Real-time ADAS Object Detector for Deployment on CPU | paper |
- ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery - ECCV 2018 | paper |
- Data Dropout: Optimizing Training Data for Convolutional Neural Networks | paper
- Neural Comic Style Transfer: Case Study | paper
- Traffic Density Estimation using a Convolutional Neural Network | paper
- Instance-based Deep Transfer Learning | paper
- TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade | paper
- Albumentations: fast and flexible image augmentations | paper
- Correlation Propagation Networks for Scene Text Detection | paper
- A look at the topology of convolutional neural networks | paper
- Deep Learning in Agriculture: A Survey. | paper
- Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks. | paper
- How do Convolutional Neural Networks Learn Design? | paper