Notice!
Busy with recent things , I'll update without day.
Notes are attached to raw PDF files to save time .
知乎论文阅读专栏 | 个人博客 | 其他 | |
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ming71 | 论文笔记入口 | chaser | CSDN |
Update CV papers here everday .
The contents include but are not limited to Object detection , Semantic segmentation , and other papers about deep learning . Comments are welcome , and you can e-mail me by [email protected] .
Divided by Conference & Journal .
Reordered via year of publications from now on, unclassified papers are preprints on arXiv .
- [CVPR] PolarMask : Single Shot Instance Segmentation with Polar Representation
- [CVPR] Revisiting the Sibling Head in Object Detector
- [AAAI] Distance-IoU
- [Neurocomputing] Recent Advances in Deep Learning for Object Detection
- [Neurocomputing] Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
- [WACV] Propose-and-Attend Single Shot Detector
- [BMVC] Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
- Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
- Cross-layer Feature Pyramid Network for Salient Object Detection
- FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
- Objects detection for remote sensing images based on polar coordinates
- Conditional Convolutions for Instance Segmentation
- 1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation
- Extended Feature Pyramid Network for Small Object Detection
- Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos
- Location-Aware Feature Selection for Scene Text Detection
- Feature Pyramid Grids
- [AAAI] M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid
- [AAAI] Gradient Harmonized Single-stage Detector
- [CVPR] Assisted Excitation of Activations: A Learning Technique to Improve Object
- [CVPR] Borrow from Anywhere Pseudo Multi-modal Object Detection in Thermal Imagery
- [CVPR] Region Proposal by Guided Anchoring
- [CVPR] Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
- [CVPR] Panoptic Segmentation
- [CVPR] Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
- [CVPR] Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- [CVPR] ScratchDet : Training Single-Shot Object Detectors
- [CVPR] Dual Attention Network for Scene Segmentation
- [CVPR] Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
- [CVPR] Spatial-aware Graph Relation Network for Large-scale Object Detection
- [CVPR] Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
- [ICCV] InstaBoost: Boosting Instance Segmentation via Probability Map Guided
- [ICCV] Scale-Aware Trident Networks for Object Detection
- [ICCV] EGNet: Edge Guidance Network for Salient Object Detection
- [ICCV] ThunderNet: Towards Real-time Generic Object Detection
- [ICCV] FCOS: Fully Convolutional One-Stage Object Detection
- [ICCV] Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
- [ICCV] Towards More Robust Detection for Small, Cluttered and Rotated Objects
- [ICCV] Dynamic Multi-scale Filters for Semantic Segmentation
- [ICCV] Matrix Nets: A New Deep Architecture for Object Detection
- [ICML] Making Convolutional Networks Shift-Invariant Again
- [ICML] How much real data do we actually need: Analyzing object detection performance using synthetic and real data
- [ICLR] Why do deep convolutional networks generalize so poorly to small image transformations?
- [ICLR] ImageNet-trained CNNs are biased towards texture: increasing shape bias improves accuracy and robustness
- [ICLR] Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
- [IJCAI] Omnidirectional Scene Text Detection with Sequential-free Box Discretization
- [BMVC] Rethinking Classification and Localization for Cascade R-CNN
- [ICIP] SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes
- [IEEE Access] A Real-Time Scene Text Detector with Learned Anchor
- [J. Big Data] A survey on Image Data Augmentation for Deep Learning
- [IEEE Trans Geosci Remote Sens] CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
- [ICTAI] Twin Feature Pyramid Networks for Object Detection
- MMDetection: Open MMLab Detection Toolbox and Benchmark
- Double-Head RCNN: Rethinking Classification and Localization for Object Detection
- Learning Data Augmentation Strategies for Object Detection
- A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
- Bag of Freebies for Training Object Detection Neural Networks
- Natural Adversarial Examples
- Needles in Haystacks: On Classifying Tiny Objects in Large Images
- CBNet: A Novel Composite Backbone Network Architecture for Object Detection
- Light-Head R-CNN: In Defense of Two-Stage Object Detector
- R3Det Refined Single-Stage Detector with Feature Refinement for Rotating Object
- Deep Learning for 2D and 3D Rotatable Data An Overview of Methods
- Is Sampling Heuristics Necessary in Training Deep Object Detectors
- IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
- Ship Detection: An Improved YOLOv3 Method
- AugFPN: Improving Multi-scale Feature Learning for Object Detection
- Multi-Scale Attention Network for Crowd Counting
- Revisiting Feature Alignment for One-stage Object Detection
- Consistent Optimization for Single-Shot Object Detection
- [CVPR] Cascade R-CNN: Delving into High Quality Object Detection
- [CVPR] Path Aggregation Network for Instance Segmentation
- [CVPR] Scale-Transferable Object Detection
- [CVPR] DOTA: A Large-scale Dataset for Object Detection in Aerial Images
- [CVPR] R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
- [CVPR] Pseudo Mask Augmented Object Detection
- [CVPR] Single-Shot Object Detection with Enriched Semantics
- [CVPR] Weakly Supervised Instance Segmentation using Class Peak Response
- [CVPR] Single-Shot Refinement Neural Network for Object Detection
- [CVPR] Squeeze-and-Excitation Networks
- [CVPR] An Analysis of Scale Invariance in Object Detection
- [CVPR] Rotation Sensitive Regression for Oriented Scene Text Detection
- [ECCV] DetNet: A Backbone network for Object Detection
- [ECCV] Receptive Field Block Net for Accurate and Fast Object Detection
- [ECCV] Modeling Visual Context is Key to Augmenting Object Detection Datasets
- [ECCV] Learning to Segment via Cut-and-Paste
- [ECCV] Acquisition of Localization Confidence for Accurate Object Detection
- [ECCV] Deep Feature Pyramid Reconfiguration for Object Detection
- [ICLR] Multi-Scale Dense Convolutional Networks for Efficient Prediction
- [ICANN] Further advantages of data augmentation on convolutional neural networks
- [IJCV] What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
- [WACV] Understanding Convolution for Semantic Segmentation
- [ACCV] Reverse Densely Connected Feature Pyramid Network for Object Detection
- [BMVC] Enhancement of SSD by concatenating feature maps for object detection
- [IJAC] An Overview of Contour Detection Approaches
- [Remote Sens.] Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks
- [IEEE Trans Multimedia] Arbitrary-oriented scene text detection via rotation proposals
- [J Mach Learn Res] Neural Architecture Search: A Survey
- [VISIGRAPP] Learning Transformation Invariant Representations with Weak Supervision
- MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
- Data Augmentation by Pairing Samples for Images Classification
- RAM: Residual Attention Module for Single Image Super-Resolution
- [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] Simple Does It: Weakly Supervised Instance and Semantic Segmentation
- [CVPR] Oriented Response Networks
- [ICCV] Focal Loss for Dense Object Detection
- [ICCV] Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
- [ICCV] Single Shot Text Detector with Regional Attention
- [ICLR] Dataset Augmentationin In Feature Space
- [ICIP] Rotated region based CNN for ship detection
- [IEEE Acess] Smart Augmentation: Learning an Optimal Data Augmentation Strategy
- [ICPRAM] A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines
- 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
- [CVPR] Learning Deep Features for Discriminative Localization
- [ECCV] Contextual Priming and Feedback for Faster R-CNN
- [NIPS] R-FCN: Object Detection via Region-based Fully Convolutional Networks
- [DICTA] Understanding data augmentation for classification: when to warp?
- [IEEE Geosci. Remote. Sens. Lett.] 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
- [ICML] Curriculum learning