computer-vision paper object-detection iccv eccv cvpr iclr

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2022

[TMM] Latent Feature Pyramid Network for Object Detection

2021

[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

2020

[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

2019

[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

2018

[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

2017

[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

2016

[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

2015

[ICDAR] ICDAR 2015 competition on Robust Reading

2014

[CVPR] Scalable Object Detection Using Deep Neural Networks

2012

[PAMI] Measuring the Objectness of Image Windows

2009

[ICML] Curriculum learning

2000

[IJCV] The earth mover's distance as a metric for image retrieval

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CV 论文笔记

computer-vision paper object-detection iccv eccv cvpr iclr