Updated at irregular intervals. Notes are attached to PDF files.
- [TMM] Latent Feature Pyramid Network for Object Detection
- [AAAI] Learning Modulated Loss for Rotated Object Detection
- [AAAI] R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
- [ICCV] Reconcile Prediction Consistency for Balanced Object Detection
- [CVPR] You Only Look One-level Feature
- [CVPR] Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
- [CVPR] Coordinate Attention for Efficient Mobile Network Design
- [CVPR] Dot Distance for Tiny Object Detection in Aerial Images
- [CVPR] IQDet: Instance-wise Quality Distribution Sampling for Object Detection
- [ICML] Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
- [ICLR] Deformable DETR: Deformable Transformers for End-to-End Object Detection
- [WACV] Disentangled Contour Learning for Quadrilateral Text Detection
- [BMVC] Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
- [NeurIPS] Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
- [NeurIPS] Dynamic Resolution Network
- [IROS] Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
- [ACM MM] Decoupled IoU Regression for Object Detection
- [JSTARS] Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
- [TIP] GSDet: Object Detection in Aerial Images Based on Scale Reasoning
- [TIP] HCE: Hierarchical Context Embedding for Region-Based Object Detection
- [TGRS] SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images
- [TGRS] Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images
- [NCAA] Hilbert sEMG data scanning for hand gesture recognition based on deep learning
- [IVC] Weighted boxes fusion: Ensembling boxes from different object detection models
- [Knowledge-Based Systems] PRPN: Progressive region prediction network for natural scene text detection
- Confidence Propagation Cluster: Unleash Full Potential of Object Detectors
- FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
- Object Detection in Aerial Images A Large-Scale Benchmark and Challenges
- Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
- MOD: Benchmark for Military Object Detection
- Location-Sensitive Visual Recognition with Cross-IOU Loss
- Anchor Pruning for Object Detection
- SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
- [AAAI] Arbitrary-Oriented Object Detection with Circular Smooth Label
- [AAAI] CBNet: A Novel Composite Backbone Network Architecture for Object Detection
- [AAAI] Distance-IoU
- [AAAI] Progressive Feature Polishing Network for Salient Object Detection
- [BMVC] Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
- [CVPR] AugFPN: Improving Multi-scale Feature Learning for Object Detection
- [CVPR] ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
- [CVPR] Delving into Online High-quality Anchors Mining for Detecting Outer Faces
- [CVPR] Detection in Crowded Scenes One Proposal, Multiple Predictions
- [CVPR] Learning from Noisy Anchors for One-stage Object Detection
- [CVPR] Multiple Anchor Learning for Visual Object Detection
- [CVPR] PolarMask: Single Shot Instance Segmentation with Polar Representation
- [CVPR] Revisiting the Sibling Head in Object Detector
- [ECCV] Dynamic R-CNN : Towards High Quality Object Detection via Dynamic Training
- [ECCV] PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
- [ECCV] Probabilistic Anchor Assignment with IoU Prediction for Object Detection
- [ECCV] Rotation-robust Intersection over Union for 3D Object Detection
- [ECCV] End-to-End Object Detection with Transformers
- [ECCV] Side-Aware Boundary Localization for More Precise Object Detection
- [JSTARS] Learning Point-guided Localization for Detection in Remote Sensing Images
- [TGRS] Adaptive Period Embedding for Representing Oriented Objects in Aerial Images
- [TCSVT] Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos
- [Neurocomputing] Recent Advances in Deep Learning for Object Detection
- [Neurocomputing] Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
- [Remote Sens.] EFN: Field-based Object Detection for Aerial Images
- [Remote Sens.] Single-Stage Rotation-Decoupled Detector for Oriented Object
- [Remote Sens.] A2S-Det: Efficiency Anchor Matching in Aerial Image Oriented Object Detection
- [WACV] Improving Object Detection with Inverted Attention
- [WACV] Propose-and-Attend Single Shot Detector
- Align Deep Features for Oriented Object Detection
- AMRNet: Chips Augmentation in Areial Images Object Detection
- BBRefinement: An universal scheme to improve precision of box object detectors
- Conditional Convolutions for Instance Segmentation
- Cross-layer Feature Pyramid Network for Salient Object Detection
- EAGLE: Large-scale Vehicle Detection Dataset inReal-World Scenarios using Aerial Imagery
- Extended Feature Pyramid Network for Small Object Detection
- FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
- Feature Pyramid Grids
- IterDet: Iterative Scheme for ObjectDetection in Crowded Environments
- Location-Aware Feature Selection for Scene Text Detection
- Objects detection for remote sensing images based on polar coordinates
- Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
- Scaled-YOLOv4: Scaling Cross Stage Partial Network
- [AAAI] Gradient Harmonized Single-stage Detector
- [AAAI] M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid
- [BMVC] Rethinking Classification and Localization for Cascade R-CNN
- [CVPR] Assisted Excitation of Activations: A Learning Technique to Improve Object
- [CVPR] Borrow from Anywhere Pseudo Multi-modal Object Detection in Thermal Imagery
- [CVPR] Dual Attention Network for Scene Segmentation
- [CVPR] Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- [CVPR] Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
- [CVPR] Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
- [CVPR] Libra R-CNN: Towards Balanced Learning for Object Detection
- [CVPR] Panoptic Segmentation
- [CVPR] Region Proposal by Guided Anchoring
- [CVPR] ScratchDet : Training Single-Shot Object Detectors
- [CVPR] Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
- [CVPR] Spatial-aware Graph Relation Network for Large-scale Object Detection
- [CVPR] Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
- [ICCV] Dynamic Multi-scale Filters for Semantic Segmentation
- [ICCV] EGNet: Edge Guidance Network for Salient Object Detection
- [ICCV] FCOS: Fully Convolutional One-Stage Object Detection
- [ICCV] InstaBoost: Boosting Instance Segmentation via Probability Map Guided
- [ICCV] Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
- [ICCV] Matrix Nets: A New Deep Architecture for Object Detection
- [ICCV] ThunderNet: Towards Real-time Generic Object Detection
- [ICCV] Towards More Robust Detection for Small, Cluttered and Rotated Objects
- [ICCV] Scale-Aware Trident Networks for Object Detection
- [ICCV] SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
- [ICIP] SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes
- [ICLR] Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
- [ICLR] ImageNet-trained CNNs are biased towards texture: increasing shape bias improves accuracy and robustness
- [ICLR] Why do deep convolutional networks generalize so poorly to small image transformations?
- [ICML] How much real data do we actually need: Analyzing object detection performance using synthetic and real data
- [ICML] Making Convolutional Networks Shift-Invariant Again
- [ICTAI] Twin Feature Pyramid Networks for Object Detection
- [IEEE Access] A Real-Time Scene Text Detector with Learned Anchor
- [IEEE Trans Geosci Remote Sens] CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
- [IJCAI] Omnidirectional Scene Text Detection with Sequential-free Box Discretization
- [J. Big Data] A survey on Image Data Augmentation for Deep Learning
- [NeurIPS] Cascade RPN Delving into High-Quality Region Proposal Network with Adaptive Convolution
- [NeurIPS] FreeAnchor Learning to Match Anchors for Visual Object Detection
- A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
- Bag of Freebies for Training Object Detection Neural Networks
- Consistent Optimization for Single-Shot Object Detection
- Deep Learning for 2D and 3D Rotatable Data An Overview of Methods
- Double-Head RCNN: Rethinking Classification and Localization for Object Detection
- IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
- IoU-uniform R-CNN: Breaking Through the Limitations of RPN
- Is Sampling Heuristics Necessary in Training Deep Object Detectors
- Learning Data Augmentation Strategies for Object Detection
- Learning from Noisy Anchors for One-stage Object Detection
- Light-Head R-CNN: In Defense of Two-Stage Object Detector
- MMDetection: Open MMLab Detection Toolbox and Benchmark
- Multi-Scale Attention Network for Crowd Counting
- Natural Adversarial Examples
- Needles in Haystacks: On Classifying Tiny Objects in Large Images
- Revisiting Feature Alignment for One-stage Object Detection
- Ship Detection: An Improved YOLOv3 Method
- [ACCV] Reverse Densely Connected Feature Pyramid Network for Object Detection
- [BMVC] Enhancement of SSD by concatenating feature maps for object detection
- [CVPR] An Analysis of Scale Invariance in Object Detection
- [CVPR] Cascade R-CNN: Delving into High Quality Object Detection
- [CVPR] DOTA: A Large-scale Dataset for Object Detection in Aerial Images
- [CVPR] Path Aggregation Network for Instance Segmentation
- [CVPR] Pseudo Mask Augmented Object Detection
- [CVPR] Rotation Sensitive Regression for Oriented Scene Text Detection
- [CVPR] Scale-Transferable Object Detection
- [CVPR] Single-Shot Object Detection with Enriched Semantics
- [CVPR] Single-Shot Refinement Neural Network for Object Detection
- [CVPR] Squeeze-and-Excitation Networks
- [CVPR] Weakly Supervised Instance Segmentation using Class Peak Response
- [ECCV] Acquisition of Localization Confidence for Accurate Object Detection
- [ECCV] Deep Feature Pyramid Reconfiguration for Object Detection
- [ECCV] DetNet: A Backbone network for Object Detection
- [ECCV] Learning to Segment via Cut-and-Paste
- [ECCV] Modeling Visual Context is Key to Augmenting Object Detection Datasets
- [ECCV] Receptive Field Block Net for Accurate and Fast Object Detection
- [ICLR] Multi-Scale Dense Convolutional Networks for Efficient Prediction
- [ICANN] Further advantages of data augmentation on convolutional neural networks
- [ISBI] A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
- [TIP] TextBoxes : A single-shot oriented scene text detector
- [TMM] Arbitrary-oriented scene text detection via rotation proposals
- [IJAC] An Overview of Contour Detection Approaches
- [IJCV] What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
- [J Mach Learn Res] Neural Architecture Search: A Survey
- [Remote Sens.] Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
- [VISIGRAPP] Learning Transformation Invariant Representations with Weak Supervision
- [WACV] Understanding Convolution for Semantic Segmentation
- Data Augmentation by Pairing Samples for Images Classification
- MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
- RAM: Residual Attention Module for Single Image Super-Resolution
- R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
- [AAAI] Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network
- [CVPR] Feature Pyramid Networks for Object Detection
- [CVPR] Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
- [CVPR] Oriented Response Networks
- [CVPR] Simple Does It: Weakly Supervised Instance and Semantic Segmentation
- [ICCV] Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
- [ICCV] Focal Loss for Dense Object Detection
- [ICCV] Grad-CAM Visual Explanations From Deep Networks via Gradient-Based Localization
- [ICCV] Single shot scale-invariant face detector
- [ICCV] Single Shot Text Detector with Regional Attention
- [ICIP] Rotated region based CNN for ship detection
- [ICLR] Dataset Augmentationin In Feature Space
- [ICPRAM] A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines
- [IEEE Acess] Smart Augmentation: Learning an Optimal Data Augmentation Strategy
- FSSD: Feature Fusion Single Shot Multibox Detector
- Improved Regularization of Convolutional Neural Networks with Cutout
- The Effectiveness of Data Augmentation in Image Classification using Deep Learning
- Tversky loss function for image segmentation using 3D fully convolutional deep networks
- [CVPR] Learning Deep Features for Discriminative Localization
- [DICTA] Understanding data augmentation for classification: when to warp?
- [ECCV] Contextual Priming and Feedback for Faster R-CNN
- [NIPS] R-FCN: Object Detection via Region-based Fully Convolutional Networks
- [GRSL] Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds
- Beyond Skip Connections: Top-Down Modulation for Object Detection
- [ICDAR] ICDAR 2015 competition on Robust Reading
- [CVPR] Scalable Object Detection Using Deep Neural Networks
- [PAMI] Measuring the Objectness of Image Windows
- [ICML] Curriculum learning
- [IJCV] The earth mover's distance as a metric for image retrieval