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Alignment Enhancement Network for Fine-grained Visual Categorization

https://doi.org/10.1145/3446208
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01216-8_38openalex-snapshot
DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-snapshot
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01258-8_5openalex-snapshot
Pairwise Confusion for Fine-Grained Visual Classification
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_35openalex-snapshot
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_49openalex-snapshot
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
inferredcites →https://doi.org/10.1007/978-3-030-67832-6_12openalex-snapshot
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1007/978-3-030-92659-5_9openalex-snapshot
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_54openalex-snapshot
Part-Based R-CNNs for Fine-Grained Category Detection
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_22openalex-snapshot
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
inferredcites →https://doi.org/10.1016/j.future.2018.10.054openalex-snapshot
A long video caption generation algorithm for big video data retrieval
inferredcites →https://doi.org/10.1016/j.neucom.2019.04.095openalex-snapshot
Stimulus-driven and concept-driven analysis for image caption generation
inferredcites →https://doi.org/10.1016/j.neunet.2020.02.017openalex-snapshot
Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval
inferredcites →https://doi.org/10.1016/j.patcog.2020.107448openalex-snapshot
Multistage attention network for image inpainting
inferredcites →https://doi.org/10.1016/j.patcog.2020.107676openalex-snapshot
Discriminative subspace matrix factorization for multiview data clustering
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298775openalex-snapshot
Deep LAC: Deep localization, alignment and classification for fine-grained recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7299194openalex-snapshot
Fine-grained recognition without part annotations
inferredcites →https://doi.org/10.1109/cvpr.2016.129openalex-snapshot
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.132openalex-snapshot
Part-Stacked CNN for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/cvpr.2016.41openalex-snapshot
Compact Bilinear Pooling
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.476openalex-snapshot
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-snapshot
Residual Attention Network for Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2017.689openalex-snapshot
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00255openalex-snapshot
Deep Layer Aggregation
inferredcites →https://doi.org/10.1109/cvpr.2018.00335openalex-snapshot
MoNet: Moments Embedding Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00432openalex-snapshot
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot
Non-local Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00315openalex-snapshot
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
inferredcites →https://doi.org/10.1109/cvpr.2019.00515openalex-snapshot
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00629openalex-snapshot
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01048openalex-snapshot
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-snapshot
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.276openalex-snapshot
Multiple Granularity Descriptors for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/iccv.2017.557openalex-snapshot
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.63openalex-snapshot
Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2019.00068openalex-snapshot
Asymmetric Non-Local Neural Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2019.00670openalex-snapshot
Selective Sparse Sampling for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00833openalex-snapshot
Cross-X Learning for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/iccv.2019.00842openalex-snapshot
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/iccvw.2013.77openalex-snapshot
3D Object Representations for Fine-Grained Categorization
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852022openalex-snapshot
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression
inferredcites →https://doi.org/10.1109/tcsvt.2020.2978115openalex-snapshot
Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization
inferredcites →https://doi.org/10.1109/tip.2018.2835143openalex-snapshot
Gabor Convolutional Networks
inferredcites →https://doi.org/10.1109/tip.2019.2902115openalex-snapshot
DECODE: Deep Confidence Network for Robust Image Classification
inferredcites →https://doi.org/10.1109/tnnls.2019.2927224openalex-snapshot
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
inferredcites →https://doi.org/10.1109/vcip49819.2020.9301763openalex-snapshot
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093601openalex-snapshot
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
inferredcites →https://doi.org/10.1145/3209666openalex-snapshot
User-Click-Data-Based Fine-Grained Image Recognition via Weakly Supervised Metric Learning
inferredcites →https://doi.org/10.1145/3231742openalex-snapshot
Structure-Aware Deep Learning for Product Image Classification
inferredcites →https://doi.org/10.1145/3240508.3240579openalex-snapshot
I read, I saw, I tell
inferredcites →https://doi.org/10.1145/3307363.3307382openalex-snapshot
Leveraging Fine-Grained Labels to Regularize Fine-Grained Visual Classification
inferredcites →https://doi.org/10.1145/3338533.3366567openalex-snapshot
Adaptive Bilinear Pooling for Fine-grained Representation Learning
inferredcites →https://doi.org/10.1145/3343031.3350870openalex-snapshot
Learning Using Privileged Information for Food Recognition
inferredcites →https://doi.org/10.1145/3352691openalex-snapshot
Steganographer Detection via Multi-Scale Embedding Probability Estimation
inferredcites →https://doi.org/10.1145/3356019openalex-snapshot
Multi-scale Supervised Attentive Encoder-Decoder Network for Crowd Counting
inferredcites →https://doi.org/10.1145/3373358openalex-snapshot
A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy
inferredcites →https://doi.org/10.1145/3377876openalex-snapshot
Exploring Deep Learning for View-Based 3D Model Retrieval
inferredcites →https://doi.org/10.1162/089976600300015349openalex-snapshot
Separating Style and Content with Bilinear Models
inferredcites →https://doi.org/10.1609/aaai.v34i07.7016openalex-snapshot
Learning Attentive Pairwise Interaction for Fine-Grained Classification
inferredcites →https://doi.org/10.5244/c.31.117openalex-snapshot
Improved Bilinear Pooling with CNNs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4757424openalex-extracted
Rethinking Attention Mechanism: Channel Re-Attention and Spatial Multi-Region Attention for Fine-Grained Visual Classification
inferred← citeshttps://doi.org/10.1007/s00371-025-03814-yopenalex-snapshot
Alleviating category confusion in fine-grained visual classification
inferred← citeshttps://doi.org/10.1007/s10489-024-05584-xopenalex-snapshot
Multi-level information fusion Transformer with background filter for fine-grained image recognition
inferred← citeshttps://doi.org/10.1007/s11042-026-21554-6openalex-snapshot
MFDP-LeafNet: A few-shot learning method for plant species classification using multi-feature and historical dynamic prototypical network
inferred← citeshttps://doi.org/10.1007/s11063-025-11757-7openalex-snapshot
Rethinking Attention Mechanism: Channel Re-attention and Spatial Multi-region Attention for Fine-grained Visual Classification
inferred← citeshttps://doi.org/10.1007/s13042-022-01685-6openalex-snapshot
Fine-grained image recognition via trusted multi-granularity information fusion
inferred← citeshttps://doi.org/10.1007/s44443-025-00120-4openalex-snapshot
GLEM: a global–local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111618openalex-snapshot
FN-NET: Adaptive data augmentation network for fine-grained visual categorization
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447207openalex-snapshot
HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification
inferred← citeshttps://doi.org/10.1109/iccc54389.2021.9674560openalex-snapshot
A Transformer Architecture with Adaptive Attention for Fine-Grained Visual Classification
inferred← citeshttps://doi.org/10.1109/icip49359.2023.10222298openalex-snapshot
Multi-Exit Vision Transformer with Custom Fine-Tuning for Fine-Grained Image Recognition
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650553openalex-snapshot
Progressive Self-Guided Hardness Distillation for Fine-Grained Visual Classification
inferred← citeshttps://doi.org/10.1109/tpami.2021.3126668openalex-snapshot
Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification
inferred← citeshttps://doi.org/10.1145/3550278openalex-snapshot
Aligning Image Semantics and Label Concepts for Image Multi-Label Classification
inferred← citeshttps://doi.org/10.1145/3615659openalex-snapshot
S 2 CL-Leaf Net : Recognizing Leaf Images Like Human Botanists
inferred← citeshttps://doi.org/10.1145/3673657openalex-snapshot
TPTE: Text-Guided Patch Token Exploitation for Unsupervised Fine-Grained Representation Learning
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