ming71 / Cv_paperdaily
CV 论文笔记
Stars: ✭ 555
Projects that are alternatives of or similar to Cv paperdaily
Cvpr2021 Papers With Code
CVPR 2021 论文和开源项目合集
Stars: ✭ 7,138 (+1186.13%)
Mutual labels: object-detection, paper, cvpr
AIPaperCompleteDownload
Complete download for papers in various top conferences
Stars: ✭ 64 (-88.47%)
Mutual labels: paper, cvpr
Awesome Computer Vision
Awesome Resources for Advanced Computer Vision Topics
Stars: ✭ 92 (-83.42%)
Mutual labels: object-detection, paper
Cvpr 2019 Paper Statistics
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Stars: ✭ 527 (-5.05%)
Mutual labels: paper, cvpr
Pwc
Papers with code. Sorted by stars. Updated weekly.
Stars: ✭ 15,288 (+2654.59%)
Mutual labels: paper, cvpr
cool-papers-in-pytorch
Reimplementing cool papers in PyTorch...
Stars: ✭ 21 (-96.22%)
Mutual labels: paper, cvpr
Deeplpf
Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
Stars: ✭ 91 (-83.6%)
Mutual labels: paper, cvpr
Restoring-Extremely-Dark-Images-In-Real-Time
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
Stars: ✭ 79 (-85.77%)
Mutual labels: paper, cvpr
Awesome-Computer-Vision-Paper-List
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
Stars: ✭ 248 (-55.32%)
Mutual labels: paper, cvpr
GuidedLabelling
Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
Stars: ✭ 35 (-93.69%)
Mutual labels: paper, cvpr
CURL
Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"
Stars: ✭ 177 (-68.11%)
Mutual labels: paper, cvpr
TMNet
The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
Stars: ✭ 77 (-86.13%)
Mutual labels: paper, cvpr
Owod
(CVPR 2021 Oral) Open World Object Detection
Stars: ✭ 274 (-50.63%)
Mutual labels: object-detection, cvpr
Daily Paper Computer Vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Stars: ✭ 4,977 (+796.76%)
Mutual labels: object-detection, paper
Pycnn
Image Processing with Cellular Neural Networks in Python
Stars: ✭ 509 (-8.29%)
Mutual labels: paper
Yolo3 4 Py
A Python wrapper on Darknet. Compatible with YOLO V3.
Stars: ✭ 504 (-9.19%)
Mutual labels: object-detection
Mlsh
Code for the paper "Meta-Learning Shared Hierarchies"
Stars: ✭ 548 (-1.26%)
Mutual labels: paper
CV--PaperDaily
知乎 | 个人博客 | |
---|---|---|
ming71 | 入口 | chaser |
Busy with recent things , I'll update without day. Notes are attached to PDF files for simplicity.
If you have any questions, please email me via [email protected] .
Archive
2021
- [AAAI] Learning Modulated Loss for Rotated Object Detection
- [AAAI] R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
- [WACV] Disentangled Contour Learning for Quadrilateral Text Detection
- [JSTARS] Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
- [TGRS] SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing Images
- 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
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
- [IEEE JSTARS] Learning Point-guided Localization for Detection in Remote Sensing Images
- [IEEE TGRS] Adaptive Period Embedding for Representing Oriented Objects in Aerial Images
- [IEEE 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
- [IEEE ISBI] A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
- [IEEE TIP] TextBoxes++: A single-shot oriented scene text detector
- [IEEE Trans Multimedia] 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
- [IEEE 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
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].