object detection

Assessment of Faster R-CNN in Man-Machine Collaborative Search CVPR 2019 Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019 Attention Augmented Convolutional Networks ICCV 2019 Attention-Guided Unified Network for Panoptic Segmentation CVPR 2019 Attentive Relational Networks for Mapping Images to Scene Graphs CVPR 2019 AutoFocus: Efficient Multi-Scale Inference ICCV 2019 Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ICCV 2019 Automatic Adaptation of Object Detectors to New Domains Using Self-Training CVPR 2019 AVS-Net: Automatic Visual Surveillance Using Relation Network AAAI 2019 Bottom-Up Object Detection by Grouping Extreme and Center Points CVPR 2019 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild ICLR 2019 Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection ICCV 2019 CARAFE: Content-Aware ReAssembly of FEatures ICCV 2019 Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms CVPR 2019 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution NeurIPS 2019 CenterNet: Keypoint Triplets for Object Detection ICCV 2019 CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification CVPR 2019 Combining Deep Learning and Verification for Precise Object Instance Detection CoRL 2019 Consistency-based Semi-supervised Learning for Object detection NeurIPS 2019 Contextual Attention for Hand Detection in the Wild ICCV 2019 Convolutional Character Networks ICCV 2019 Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019 Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019