Deep Learning for Fine-grained Image Analysis A Survey arXiv 2019 [paper]
A Systematic Evaluation Fine-grained CNN vs Traditional CNN Classifiers arXiv 2020 [paper]
Attention Convolutional Binary Neural Tree for Fine-grained Visual Categorization CVPR 2020 [paper]
Facing the Hard Problems in FGVC arXiv 2020 [paper]
ResNet-50 CUB 88.9
Fine-grained Visual Classification with Efficient End-to-end Localization arXiv 2020 [paper]
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches arXiv 2020 [paper] [code]
Group Based Deep Shared Feature Learning for Fine-grained Image Classification arXiv 2020 [paper]
Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020 [paper]
CUB 90…
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition IEEE TIP 2020 [paper]
Multi-branch and Multi-scale Attention Learning for Fine-grained Visual Categorization arXiv 2020 [paper] [code]
MMAL-Net ResNet-50 CUB 89.6, Attention Object Localization Module, AOLM, Attention Part Proposeal Module, APPM, Three branches, raw branch, object branch, part branch
Multi-objective Matrix Normalization for Fine-grained Visual Recognition IEEE TIP 2020 [arXiv paper] [paper] [code]
Pay Attention to the Activations A Modular Attention Mechanism for Fine-grained Image Recognition IEEE TMM 2020
Spatial-Scale Aligned Network for Fine-Grained Recognition arXiv 2020 [paper]
"SSANET ResNet-50 CUB 88.5"
The Devil is in the Channels Mutual-Channel Loss for Fine-Grained Image Classification IEEE TIP 2020 [paper]
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-grained Visual Classification arXiv 2020 [paper]
Attention Pyramid Convolutional Neural Network, AP-CNN ResNet-50 CUB 88.4
Weakly Supervised Fine-grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning CVPR 2020 [paper]
DF-GMM (ResNet-50) CUB 88.8
Deep Attention-based Spatially Recursive Networks for Fine-grained Visual Recognition IEEE TCYB 2019 [paper]
DCL CUB VGG-16 86.9, DCL CUB ResNet-50 87.8
Fine-grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses IEEE TNNLS 2019 [paper]
Looking for the Devil in the Details Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition CVPR 2019 [paper] [code]
TASN ResNet-50 CUB 87.9
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization ICCV 2019 [paper]
Learning Deep Bilinear Transformation for Fine-grained Image Representation NIPS 2019 [paper] [code]
DBTNet-50 ResNet-50 CUB 87.5, DBTNet-101 ResNet-101 CUB 88.1
See Better Before Looking Closer Weakly Supervised Data Augmentation Network for Fine-grained Visual Classification arXiv 2019 [paper]
WS-DAN (InceptionV3) 89.4
Selective Sparse Sampling for Fine-Grained Image Recognition ICCV 2019 [paper]
Weakly Supervised Complementary Parts Models for Fine-grained Image Classification from the Bottom Up CVPR 2019 [paper]
CUB 90.4
Which and How Many Regions to Gaze Focus Discriminative Regions for Fine-Grained Visual Categorization IJCV 2019 [paper]
multi-scale and multi-granularity deep reinforcement learning, M2DRL, CUB, 87.21
DeepKSPD Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition ECCV 2018
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification ECCV 2018
Hierarchical Bilinear Pooling for Fine-grained Visual Recognition ECCV 2018 [paper] [code: Caffe]
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition CVPR 2018 [paper] [code]
Navigator-Teacher-Scrutinizer Network, NTS-Net
Mask-CNN Localizing Parts and Selecting Descriptors for Fine-grained Bird Species Categorization PR 2018 [paper]
Multi-attention Multi-class Constraint for Fine-grained Image Recognition ECCV 2018 [paper]
one-squeeze multi-excitation, OSME, multi-attention multi-class constraint, MAMC, metric learning framework
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 [paper] [code]
"iSQRT-COV ResNet-50 88.1", "iSQRT-COV VGG-D 87.2", "iSQRT-COV ResNet-101 88.7"
Higher-order Integration of Hierarchical Convolutional Activations for Fine-grained Visual Categorization ICCV 2017 [paper]
Kernel Pooling for Convolutional Neural Networks CVPR 2017 [paper]
VGG-16 CUB 86.2, ResNet-50 CUB 84.7
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition ICCV 2017 [paper]
Localizing by Describing Attribute-guided Attention Localization for Fine-grained Recognition AAAI 2017
Look Closer to See Better Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition CVPR 2017 [paper] [code]
"RA-CNN CUB VGG-19 85.3"
Low-rank Bilinear Pooling for Fine-grained Classification CVPR 2017 [paper] [code: MatConvNet]
Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-grained Image Classification AAAI 2017 [paper]
CUB VGGNet 84.69
Coarse-to-Fine Description for Fine-grained Visual Categorization IEEE TIP 2016 [paper]
Compact Bilinear Pooling CVPR 2016 [paper] [code, Caffe and MatConvNet]
Embedding Label Structures for Fine-grained Feature Representation CVPR 2016 [paper]
Fine-grained Image Classification by Exploring Bipartite-graph Labels CVPR 2016 [paper]
Part-stacked CNN for Fine-grained Visual Categorization CVPR 2016 [paper]
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition ECCV 2016 [paper]
Hyper-class Augmented and Regularized Deep Learning for Fine-grained Image Classification CVPR 2015 [paper]
Multiple Granularity Descriptors for Fine-grained Categorization ICCV 2015 [paper]
"CUB VGG-Net 81.7"