Progressively Exploring and Exploiting Inference Data to Break Fine-Grained Classification Barrier
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Li-Jun, Zhang, Si-Yuan, Chen, Zhen-Duo, Luo, Xin, Xu, Xin-Shun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)
by: Zhao, Li-Jun, et al.
Published: (2024)
EVC-MF: End-to-end Video Captioning Network with Multi-scale Features
by: Niu, Tian-Zi, et al.
Published: (2024)
by: Niu, Tian-Zi, et al.
Published: (2024)
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation
by: Liao, Qiyu, et al.
Published: (2024)
by: Liao, Qiyu, et al.
Published: (2024)
Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts
by: Xu, Yangyang, et al.
Published: (2025)
by: Xu, Yangyang, et al.
Published: (2025)
Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)
by: Yao, Hang, et al.
Published: (2024)
FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions
by: Zhao, Peisen, et al.
Published: (2026)
by: Zhao, Peisen, et al.
Published: (2026)
Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)
by: Luo, Xin, et al.
Published: (2023)
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification
by: Tan, Zhaorui, et al.
Published: (2025)
by: Tan, Zhaorui, et al.
Published: (2025)
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Luo, Ning, et al.
Published: (2025)
by: Luo, Ning, et al.
Published: (2025)
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
by: Jin, Cheng, et al.
Published: (2024)
by: Jin, Cheng, et al.
Published: (2024)
ChartM$^3$: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension
by: Xu, Duo, et al.
Published: (2025)
by: Xu, Duo, et al.
Published: (2025)
Expert Knowledge-Guided Decision Calibration for Accurate Fine-Grained Tree Species Classification
by: Long, Chen, et al.
Published: (2026)
by: Long, Chen, et al.
Published: (2026)
DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
FACTS: Fine-Grained Action Classification for Tactical Sports
by: Lai, Christopher, et al.
Published: (2024)
by: Lai, Christopher, et al.
Published: (2024)
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
by: Cheng, Zesen, et al.
Published: (2024)
by: Cheng, Zesen, et al.
Published: (2024)
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
by: Zhao, Xin-yang, et al.
Published: (2025)
by: Zhao, Xin-yang, et al.
Published: (2025)
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
by: Yuan, Shilu, et al.
Published: (2024)
by: Yuan, Shilu, et al.
Published: (2024)
Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification
by: Yang, William, et al.
Published: (2025)
by: Yang, William, et al.
Published: (2025)
Suppressing Gradient Conflict for Generalizable Deepfake Detection
by: Liu, Ming-Hui, et al.
Published: (2025)
by: Liu, Ming-Hui, et al.
Published: (2025)
Fine-Grained Scene Image Classification with Modality-Agnostic Adapter
by: Wang, Yiqun, et al.
Published: (2024)
by: Wang, Yiqun, et al.
Published: (2024)
CADFormer: Fine-Grained Cross-modal Alignment and Decoding Transformer for Referring Remote Sensing Image Segmentation
by: Liu, Maofu, et al.
Published: (2025)
by: Liu, Maofu, et al.
Published: (2025)
Breaking the Discretization Barrier of Continuous Physics Simulation Learning
by: Xu, Fan, et al.
Published: (2025)
by: Xu, Fan, et al.
Published: (2025)
ToolFG: Towards Well-Grounded Fine-Grained Image Classification
by: Xue, Yu, et al.
Published: (2026)
by: Xue, Yu, et al.
Published: (2026)
Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptation
by: Luo, Jun, et al.
Published: (2025)
by: Luo, Jun, et al.
Published: (2025)
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
by: Liu, Ming-Hui, et al.
Published: (2025)
by: Liu, Ming-Hui, et al.
Published: (2025)
Frequency-Enhanced Dual-Subspace Networks for Few-Shot Fine-Grained Image Classification
by: Wang, Meijia, et al.
Published: (2026)
by: Wang, Meijia, et al.
Published: (2026)
CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario
by: Duan, Zhizhao, et al.
Published: (2024)
by: Duan, Zhizhao, et al.
Published: (2024)
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
by: Zhao, Huazhong, et al.
Published: (2025)
by: Zhao, Huazhong, et al.
Published: (2025)
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
by: Zhao, Haozhe, et al.
Published: (2024)
by: Zhao, Haozhe, et al.
Published: (2024)
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
by: Lu, Zhiguang, et al.
Published: (2024)
by: Lu, Zhiguang, et al.
Published: (2024)
Learning Real Facial Concepts for Independent Deepfake Detection
by: Liu, Ming-Hui, et al.
Published: (2025)
by: Liu, Ming-Hui, et al.
Published: (2025)
Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
by: Liu, Ming-Hui, et al.
Published: (2026)
by: Liu, Ming-Hui, et al.
Published: (2026)
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
by: Bougourzi, Fares, et al.
Published: (2024)
by: Bougourzi, Fares, et al.
Published: (2024)
Peregrine: One-Shot Fine-Tuning for FHE Inference of General Deep CNNs
by: Ling, Huaming, et al.
Published: (2025)
by: Ling, Huaming, et al.
Published: (2025)
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval
by: Lu, Xin, et al.
Published: (2023)
by: Lu, Xin, et al.
Published: (2023)
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
by: Li, Zijian, et al.
Published: (2025)
by: Li, Zijian, et al.
Published: (2025)
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
by: Hu, Xiantao, et al.
Published: (2024)
by: Hu, Xiantao, et al.
Published: (2024)
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance
by: Yuan, Xiang, et al.
Published: (2025)
by: Yuan, Xiang, et al.
Published: (2025)
Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning
by: Zhao, Yumiao, et al.
Published: (2025)
by: Zhao, Yumiao, et al.
Published: (2025)
Similar Items
-
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024) -
EVC-MF: End-to-end Video Captioning Network with Multi-scale Features
by: Niu, Tian-Zi, et al.
Published: (2024) -
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation
by: Liao, Qiyu, et al.
Published: (2024) -
Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts
by: Xu, Yangyang, et al.
Published: (2025) -
Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)