A survey on deep learning-based fine-grained object classification and semantic segmentation

Very Deep Convolutional Networks for Large-Scale Image Recognition

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ImageNet classification with deep convolutional neural networks

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ImageNet: A large-scale hierarchical image database

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Going deeper with convolutions

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Fully convolutional networks for semantic segmentation

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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

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Proceedings of IEEE International Conference on Computer Vision

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Resource-Aware Capsule Network

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Street Sky Openness Estimation Based on Deep Learning——Case Study of Hakata Station Area, Fukuoka

Fang, Q., Inoue, T., ZHIQIU, X., & Liu, Q. (2022) · ISOCARP World Planning Congress · doi:10.47472/f945hvjk

Stochastic Study on CNN Approach for Classifying Images

(2023) · International Journal of Food and Nutritional Sciences · doi:10.48047/ijfans/issue4/003

Survey on Age Invariant Face Recognition Techniques

Rajababu, M., Srinivas, K., & Sankar, H. (2022) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i56241.2022.10072620

Automatic Segmentation of Cell Nuclei Using VGG-Res-U-Net Architecture

Devi, W. R., Roy, S. S., & Thongam, K. (2023) · Lecture notes in mechanical engineering · doi:10.1007/978-981-19-9285-8_41

BIRDS BREED CLASSIFICATION SYSTEM USING CNN

Kavya, A. (2023) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem24735

Artificial intelligence in ophthalmology II: glaucoma

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BF-Net: A Fine-Grained Network for Identify Bacterial and Fungal Keratitis

Lin, K., Zhang, J., Jiang, X., Liu, J., & Zhou, S.-Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-44216-2_5

Performacnes comparison of CNN-based models for fine-grained image classification

Lu, Y., & Pan, Y. (2023) · Applied and Computational Engineering · doi:10.54254/2755-2721/17/20230916

Toward IoT and AI-based Information Collaborative Cultivation

Mineno, H. (2023) · Shokubutsu Kankyo Kogaku · doi:10.2525/shita.35.153

A Review on Wild Animal Recognition Techniques Using Deep LearningPreprint

Suresh, P., & Mathur, R. P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4483821

Bird Image Retrieval & Recognition Using a Deep Learning Platform

Dwivedi, A., Sharma, A. K., Mishra, A., & Singh, R. (2023) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icac3n60023.2023.10541386

Multi-view Object Recognition Based on Deep Models

Li, X. S., Ai, S., & Liu, J. (2024) · Communications in computer and information science · doi:10.1007/978-981-97-3623-2_22

Wheat Head Classification in 3D Point Clouds for Fusarium Head blight Detection

Marulanda, C. C. (2024) · doi:10.36939/ir.202409031307

An Automated Bird Species Classification Using Deep Learning

Saritha, N., & Shruthi (2024) · doi:10.1109/icait61638.2024.10690591

Deep Learning-Based Object Detection of Relevant Morphological Traits for Enhancing Automatic Classification of Freshwater Macroinvertebrates

Cruz-Cruz, L. D., López, D. M., & Vargas-Cañas, R. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-74595-9_5

Visual Object Affordances using Geometric Characteristics for Early Risk Detection

Ordenes, D., & Cruz, F. (2024) · IEEE Latin American Conference on Computational Intelligence (LA-CCI) · doi:10.1109/la-cci62337.2024.10814730

Structural Identification and Quality Inspection of Underground Caverns in Hydroelectric Engineering via Computer Vision and Neural Network Computing

Li, X. L., Li, M., Yang, C., Li, Z., Luo, S., Zou, D., & Ding, W. (2024) · International Symposium on Integrated Circuit Design and Integrated Systems (ICDIS) · doi:10.1145/3702191.3703644

Saccade inspired Attentive Visual Patch Transformer for image sentiment analysis

Zhang, J., Zhu, J., Sun, H., Zhang, X., & Liu, J. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.112963

High-speed portrait video segmentation using the hybrid combination of deep-learning models and boundary movement adjustment

Kim, Y., Byun, Y.-C., Krishna, A. V. N., & Balachandran, K. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111077

Towards an improved analysis of bird species identification from real time images by comparing mobilenet with inception method

Prasad, C. V. H., & Arul, U. (2025) · AIP conference proceedings · doi:10.1063/5.0266135

Evaluation Index System for Environmental Restoration Effectiveness Based on Landscape Pattern and Ecological Low-Carbon Construction

Mao, J. (2025) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2025.0160674

MuCHEx: A Multimodal Conversational Debugging Tool for Interactive Visual Exploration of Hierarchical Object Classification

Shahriari, R., Yang, Y., Tamboli, D. N. A., Perez, M., Zha, Y., Hou, J., Deng, M., Ragan, E. D., Ruiz, J., Wang, D. Z., et al. (2025) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2025.3598204

Construction of a Semantic Network for International Chinese Language Education Based on Knowledge Graph Technology and Optimization of Its Teaching Resources

Han, X., & Liang, Y. (2025) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2025-1112

A fine-grained image classification model for automobile front faces based on deconstruction-reconstruction thinking and CMAL-Net

Pei, H., Yang, M., Ding, M., Gong, H., Li, W., Zhang, Y., Cao, Y., & Cao, J. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2564619

From Point to Flow: Enhancing Unsupervised Domain Adaptation With Flow Classification

Zhou, L., Ye, M., Li, N., Tang, S. Y., Fan, X.-Q., Deng, L., Lei, Z., & Zhu, X. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3642573

Alleviating noise memorization for adversarially robust few-shot learning

Hu, Y., Zou, Y., Wang, X., Li, Y., He, K., & Li, R. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.108515

Retinal Fundus Image Segmentation Using Transfer Learning with MobileNetV2 and U-Net Architectures

Srinivas, K., Mitikiri, A., Mandadi, G. P., & Chintakindi, B. M. (2025) · International Conference on Networks and Soft Computing (ICNSoC) · doi:10.1109/icnsoc66817.2025.00089

MilliSARImageNet: A 2D High-Resolution Millimeter-Wave SAR Image Dataset

Dorje, L., Poredi, N., Madden, J., Homsi, S., Chen, Y., & Li, X. (2026) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc65079.2026.11366410

FFGF-Net: A Forestry Fine-Grained Fusion Network for tree species classification from UAV imagery

Zhou, X., Liu, J., Chen, Z., Yang, H., & Xu, S. (2026) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2026.105299

Aircraft Detection in Remote Sensing Images Using YOLOX-DCSA

Gao, M., Chen, S., Fan, X., Sun, H., Chen, X., Sun, B., & Guan, N. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-6736-2_1

EffBirdNet: an efficient and lightweight network based on synergistic feature fusion for fine-grained bird image classification

Gao, J., Hou, B., Wen, Z., Xie, S., Liang, R., & Yu, A. (2026) · Journal of Real-Time Image Processing · doi:10.1007/s11554-026-01890-4

NeuroBridge: Few-Shot Cross-Modal Neuron Re-identification via Dual-Channel Deep Metric Learning

Li, W., Liao, M., Cai, L., & Li, A. (2026) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61042.2026.00836

Region Correlation Refinement Hypergraph Convolution for Skeleton-Based Action Recognition

Zhang, Y., Li, S., Xia, Y., Gao, Y., & Jiang, Y. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3713762

H 3 Former: Hypergraph-Based Semantic-Aware Aggregation via Hyperbolic Hierarchical Contrastive Loss for Fine-Grained Visual Classification

Zhang, Y., Li, S., Huang, K., Gao, Y., & Jiang, Y. L. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3712338

Sigmoid Supervised Contrastive Learning with Memory Bank for Feature Disentanglement

Wang, B., Dornaika, F., Hoang, V. T., & Le, V.-T. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-31452-9_26

Hybrid CNN-ViT feature embedding for image retrieval with multi-loss optimization

Thi, H. N., Huu, Q. N., Thuy, Q. D. T., Le, N. T. T., Van, T. N., & Huu, H. N. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-026-03271-6

A Two-Stage Deep Learning Image Segmentation and Fine-Grained Breed Classification for Some Pet Dataset

Yang, H., & Ho, E. Y. T. (2026) · World Symposium on Artificial Intelligence (WSAI) · doi:10.1109/wsai70435.2026.11708628

Deep Learning for Snake Species Identification to Support Snakebite Treatment: A Comparative Study of Efficient CNN and Vision Transformer Architectures

Theera-Ampornpunt, N., Treepong, P., & Buaphet, P. (2026) · Animals · doi:10.3390/ani16203298

A Survey of Fine-Grained Image Classification Based on Deep Learning

Guo, C., Cui, H., Yu, K., & Xin-ping, M. O. (2019) · DEStech Transactions on Computer Science and Engineering · doi:10.12783/dtcse/ica2019/30636 · Cited by 1

Deep Learning for Fine-Grained Image Analysis: A SurveyPreprint

Wei, X.-S., Wu, J., & Cui, Q. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.03069 · Cited by 98

Deep Learning Based Fine Grained Image Classification

Vaidya, P., & Kamalapur, S. M. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i7s.7532

Fine-Grained Image Analysis With Deep Learning: A Survey

Wei, X.-S., Song, Y.-Z., Aodha, O. M., Wu, J., Peng, Y., Tang, J., Yang, J., & Belongie, S. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3126648 · Cited by 526

Fine-grained image classification using deep learning

Sun, D. (2021) · DR-NTU (Nanyang Technological University)