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Object Detection

5,109 papers

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Papers

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images CVPR 2019 Deep Fitting Degree Scoring Network for Monocular 3D Object Detection CVPR 2019 Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019 Deep Optics for Monocular Depth Estimation and 3D Object Detection ICCV 2019 DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision NeurIPS 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019 Deformable ConvNets V2: More Deformable, Better Results CVPR 2019 Deliberative Explanations: visualizing network insecurities NeurIPS 2019 Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach ICCV 2019 Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors AAAI 2019 Densely Supervised Grasp Detector (DSGD) AAAI 2019 Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization CVPR 2019 Destruction and Construction Learning for Fine-Grained Image Recognition CVPR 2019 Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes ICCV 2019 Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network IJCAI 2019 Detecting Unseen Visual Relations Using Analogies ICCV 2019 Detect or Track: Towards Cost-Effective Video Object Detection/Tracking AAAI 2019 Detect-To-Retrieve: Efficient Regional Aggregation for Image Search CVPR 2019 DetNAS: Backbone Search for Object Detection NeurIPS 2019 Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates CVPR 2019 Direct Object Recognition Without Line-Of-Sight Using Optical Coherence CVPR 2019 Disentangling Monocular 3D Object Detection ICCV 2019 Dissimilarity Coefficient Based Weakly Supervised Object Detection CVPR 2019 Distilling Object Detectors With Fine-Grained Feature Imitation CVPR 2019 Distraction-Aware Shadow Detection CVPR 2019