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papers2018.md

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Papers to read

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  • DeepFakes: a New Threat to Face Recognition? Assessment and Detection | paper
  • SFA: Small Faces Attention Face Detector | paper
  • Accurate Hand Keypoint Localization on Mobile Devices | paper
  • Dynamic Programming Approach to Template-based OCR | paper
  • Rotation Ensemble Module for Detecting Rotation-Invariant Features | paper
  • Handcrafted and Deep Trackers: A Review of Recent Object Tracking Approaches | paper
  • Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking | paper
  • End to End Video Segmentation for Driving : Lane Detection For Autonomous Car | paper
  • AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection | paper
  • PointPillars: Fast Encoders for Object Detection from Point Clouds | paper

  • Strong-Weak Distribution Alignment for Adaptive Object Detection | paper
  • Fast Online Object Tracking and Segmentation: A Unifying Approach | paper
  • CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation | paper
  • IPOD: Intensive Point-based Object Detector for Point Cloud | paper
  • MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer | paper
  • FA-RPN: Floating Region Proposals for Face Detection | paper
  • Facial Expression Recognition using Facial Landmark Detection and Feature Extraction on Neural Networks | paper
  • PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud | paper
  • Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification | paper
  • Identity-Enhanced Network for Facial Expression Recognition | paper
  • Learning Discriminative Motion Features Through Detection | paper
  • The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery | paper
  • PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image | paper
  • Meta-Transfer Learning for Few-Shot Learning | paper
  • ADAPTIVE SCENARIO DISCOVERY FOR CROWD COUNTING | paper
  • OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation | paper
  • Multiview Cross-supervision for Semantic Segmentation | paper
  • Complete the Look: Scene-based Complementary Product Recommendation | [paper](Complete the Look: Scene-based Complementary Product Recommendation)
  • Visual Attention for Behavioral Cloning in Autonomous Driving | paper
  • Few-shot Object Detection via Feature Reweighting | paper
  • Interactive Full Image Segmentation | paper
  • An empirical study towards understanding how deep convolutional nets recognize falls | paper
  • Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment | paper
  • End-to-end Segmentation with Recurrent Attention Neural Network | paper
  • Learning Attraction Field Representation for Robust Line Segment Detection | paper
  • TextField: Learning A Deep Direction Field for Irregular Scene Text Detection | paper
  • A Face-to-Face Neural Conversation Model | paper
  • AutoFocus: Efficient Multi-Scale Inference | paper
  • Knowledge Distillation with Feature Maps for Image Classification | paper
  • NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection | paper
  • Learning RoI Transformer for Detecting Oriented Objects in Aerial Images | paper
  • AUTOMATED SEGMENTAITON AND CLASSIFICATION OF ARTERIOLES AND VENULES USING CASCADING DILATED CONVOLUTIONAL NEURAL NETWORKS | paper
  • HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset | paper
  • Classifying a specific image region using convolutional nets with an ROI mask as input | paper
  • MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation | paper
  • Pedestrian Detection with Autoregressive Network Phases | paper
  • Anchor Box Optimization for Object Detection | paper
  • TextMountain: Accurate Scene Text Detection via Instance Segmentation | paper
  • A Framework for Fast and Efficient Neural Network Compression | paper
  • Style Decomposition for Improved Neural Style Transfer | paper
  • Transferable Adversarial Attacks for Image and Video Object Detection | paper
  • CCNet: Criss-Cross Attention for Semantic Segmentation | paper | code
  • Partial Convolution based Padding | paper | code
  • Robust Face Detection via Learning Small Faces on Hard Images | paper | code
  • Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors | paper
  • ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network | paper | code
  • Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network | paper
  • Deep Reinforcement Learning for Autonomous Driving | paper
  • Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection | paper
  • Skin lesion segmentation using a U-Net and good training strategies | paper
  • ShelfNet for Real-time Semantic Segmentation | paper | code
  • CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss | paper
  • MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices | paper
  • Mask R-CNN with Pyramid Attention Network for Scene Text Detection | paper
  • Super Diffusion for Salient Object Detection | paper
  • Polarity Loss for Zero-shot Object Detection | paper
  • Low-Resolution Face Recognition Face Recognition on Mobile Devices | paper | code
  • A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN | paper
  • Deep Convolutional Neural Network for Plant Seedlings Classification | paper
  • Single-Label Multi-Class Image Classification by Deep Logistic Regression | paper
  • LGLG-WPCA: An Effective Texture-based Method for Face Recognition | paper
  • Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector | paper
  • CGNet: A Light-weight Context Guided Network for Semantic Segmentation | paper
  • Orthographic Feature Transform for Monocular 3D Object Detection | paper
  • Practical Visual Localization for Autonomous Driving: Why Not Filter? | paper
  • Recurrent Iterative Gating Networks for Semantic Segmentation | paper
  • Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | paper
  • Deeper Interpretability of Deep Networks | 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
  • Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks | paper
  • Multimodal Densenet | paper
  • Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation | paper
  • Implementation of Robust Face Recognition System Using Live Video Feed Based on CNN | paper
  • GLStyleNet: Higher Quality Style Transfer Combining Global and Local Pyramid Features | paper
  • Exploit the Connectivity: Multi-Object Tracking with TrackletNet | paper
  • R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy | paper
  • PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution | paper
  • Improving Rotated Text Detection with Rotation Region Proposal Networks | paper
  • Enhancing the Robustness of Prior Network in Out-of-Distribution Detection | paper
  • An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing | paper
  • DeRPN: Taking a further step toward more general object detection | paper
  • Detecting The Objects on The Road Using Modular Lightweight Network | paper
  • Rethinking ImageNet Pre-training | paper
  • A Novel Integrated Framework for Learning both Text Detection and Recognition | paper | code
  • A Novel Integrated Framework for Learning both Text Detection and Recognition | paper
  • Scene Text Detection with Supervised Pyramid Context Network | paper
  • M2E-Try On Net: Fashion from Model to Everyone | paper
  • Adjustable Real-time Style Transfer | paper

CVPR 2018 object detection

  • Single-Shot Refinement Neural Network for Object Detection.
  • Single-Shot Object Detection with Enriched Semantics.
  • Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy.
  • An Analysi