Cover Image

Feature-Enhanced TResNet for Fine-Grained Food Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Lulu, Xiao, Zhiyong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fine-Grained ImageNet Classification in the Wild
by: Lymperaiou, Maria, et al.
Published: (2023)

Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation
by: Chen, Haotian, et al.
Published: (2025)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
by: Paul, Dipanjyoti, et al.
Published: (2023)

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
by: La Grassa, Riccardo, et al.
Published: (2025)

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
by: Rahimzadeh, Mohammad, et al.
Published: (2021)

SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification
by: Wang, Zheng
Published: (2025)

ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification
by: Janusz, Mikołaj, et al.
Published: (2026)

Fine-Grained Domain Generalization with Feature Structuralization
by: Yu, Wenlong, et al.
Published: (2024)

Saccadic Vision for Fine-Grained Visual Classification
by: Schmidt, Johann, et al.
Published: (2025)

microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification
by: Silva, Sathira, et al.
Published: (2025)

Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
by: Chen, Chi-Sheng, et al.
Published: (2024)

Salient Mask-Guided Vision Transformer for Fine-Grained Classification
by: Demidov, Dmitry, et al.
Published: (2023)

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
by: Lan, Long, et al.
Published: (2024)

Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning
by: Zhang, Zhenyu, et al.
Published: (2023)

ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition
by: Felemban, Abdulwahab, et al.
Published: (2025)

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
by: Chapman, Avraham, et al.
Published: (2024)

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
by: Zeng, Shuang, et al.
Published: (2025)

FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
by: Li, Zixu, et al.
Published: (2025)

A Multihead Continual Learning Framework for Fine-Grained Fashion Image Retrieval with Contrastive Learning and Exponential Moving Average Distillation
by: Xiao, Ling, et al.
Published: (2026)

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance
by: Ezuma, Ifeanyi, et al.
Published: (2026)

Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation
by: Islam, Niful, et al.
Published: (2024)

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
by: Hong, Yunqi, et al.
Published: (2025)

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
by: Nguyen, Cong Huy, et al.
Published: (2026)

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding
by: Zheng, Lihao, et al.
Published: (2026)

Residual Feature-Reutilization Inception Network for Image Classification
by: He, Yuanpeng, et al.
Published: (2024)

GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
by: Gao, Lin-Guo, et al.
Published: (2026)

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
by: Dahal, Ashim, et al.
Published: (2025)

COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts
by: Wang, Bingli, et al.
Published: (2026)

Beyond Frequency: Seeing Subtle Cues Through the Lens of Spatial Decomposition for Fine-Grained Visual Classification
by: Xu, Qin, et al.
Published: (2025)

MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagery
by: Li, Yansheng, et al.
Published: (2025)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
by: Di, Kexin, et al.
Published: (2025)

Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction
by: Zhou, Zihan, et al.
Published: (2025)

Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting
by: Zhang, Rong, et al.
Published: (2025)

Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection
by: Park, Konyul, et al.
Published: (2024)

Feature CAM: Interpretable AI in Image Classification
by: Clement, Frincy, et al.
Published: (2024)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)

DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model
by: Tao, Zhou, et al.
Published: (2025)

Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation
by: Feng, Zhenyang, et al.
Published: (2025)

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval
by: Wang, Siyuan, et al.
Published: (2026)

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans
by: Qiu, Yansheng, et al.
Published: (2025)