Cover Image

SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liao, Qiyu, Yuan, Xin, Xu, Min, Wang, Dadong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning
by: Huang, Huaxi, et al.
Published: (2024)

Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)

Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)

Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
by: Li, Hao, et al.
Published: (2024)

Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Luo, Ning, et al.
Published: (2025)

Progressively Exploring and Exploiting Inference Data to Break Fine-Grained Classification Barrier
by: Zhao, Li-Jun, et al.
Published: (2024)

Visually-Guided Controllable Medical Image Generation via Fine-Grained Semantic Disentanglement
by: Huang, Xin, et al.
Published: (2026)

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
by: Michaeli, Eyal, et al.
Published: (2024)

FACTS: Fine-Grained Action Classification for Tactical Sports
by: Lai, Christopher, et al.
Published: (2024)

Fine-Grained Scene Image Classification with Modality-Agnostic Adapter
by: Wang, Yiqun, et al.
Published: (2024)

Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
by: Kumar, Saorj, et al.
Published: (2025)

Visual Superordinate Abstraction for Robust Concept Learning
by: Zheng, Qi, et al.
Published: (2022)

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
by: Wang, Yeyuan, et al.
Published: (2024)

Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
by: Wei, Canshi
Published: (2024)

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

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
by: Tian, Bowen, et al.
Published: (2024)

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
by: Bougourzi, Fares, et al.
Published: (2024)

Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification
by: Gao, Pengxiang, et al.
Published: (2025)

Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture
by: Liao, Qiyu, et al.
Published: (2025)

Feature-Enhanced TResNet for Fine-Grained Food Image Classification
by: Liu, Lulu, et al.
Published: (2025)

Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment
by: Liu, Chen, et al.
Published: (2025)

A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
by: Lamm, Bianca, et al.
Published: (2025)

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

ToolFG: Towards Well-Grounded Fine-Grained Image Classification
by: Xue, Yu, et al.
Published: (2026)

DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
by: Li, Geng, et al.
Published: (2025)

Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
by: Wang, Shuyun, et al.
Published: (2026)

Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification
by: Yang, William, et al.
Published: (2025)

Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
by: Xu, Qin, et al.
Published: (2024)

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

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL
by: Pan, Kaihang, et al.
Published: (2025)

How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
by: Smith, Joseph, et al.
Published: (2024)

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning
by: Xue, Junxiao, et al.
Published: (2026)

Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
by: Wu, Tianxu, et al.
Published: (2023)

FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization
by: Zhang, Rong, et al.
Published: (2025)

Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
by: Liu, Chen, et al.
Published: (2025)

ColorFlow: Retrieval-Augmented Image Sequence Colorization
by: Zhuang, Junhao, et al.
Published: (2024)

Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification
by: Wang, Haowen, et al.
Published: (2025)

Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
by: Zuo, Zheming, et al.
Published: (2024)

Towards Visual Re-Identification of Fish using Fine-Grained Classification for Electronic Monitoring in Fisheries
by: Thilakarathna, Samitha Nuwan, et al.
Published: (2025)

VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
by: Xu, Jiazheng, et al.
Published: (2024)