Object Detection

Attention Augmented Convolutional Networks ICCV 2019 Attention-Based Dropout Layer for Weakly Supervised Object Localization CVPR 2019 Attentive Feedback Network for Boundary-Aware Salient Object Detection CVPR 2019 Attentive Region Embedding Network for Zero-Shot Learning 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 Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019 BASNet: Boundary-Aware Salient Object Detection CVPR 2019 Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019 Better and Faster: Exponential Loss for Image Patch Matching ICCV 2019 Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection ICCV 2019 Bi-Directional Cascade Network for Perceptual Edge Detection CVPR 2019 Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition ICLR 2019 Bottom-Up Object Detection by Grouping Extreme and Center Points CVPR 2019 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NeurIPS 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection ICCV 2019 CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection CVPR 2019 CARAFE: Content-Aware ReAssembly of FEatures ICCV 2019 Cascaded Partial Decoder for Fast and Accurate Salient Object Detection CVPR 2019 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution NeurIPS 2019 CenterNet: Keypoint Triplets for Object Detection ICCV 2019