Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training
Fuente:
arXiv
Saved in:
| Main Authors: | Mamtani, Sumit, Thesia, Yash |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
by: Mamtani, Sumit, et al.
Published: (2025)
by: Mamtani, Sumit, et al.
Published: (2025)
Enhancing Transformer-Based Vision Models: Addressing Feature Map Anomalies Through Novel Optimization Strategies
by: Mamtani, Sumit
Published: (2025)
by: Mamtani, Sumit
Published: (2025)
Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GAN
by: Thesia, Yash, et al.
Published: (2026)
by: Thesia, Yash, et al.
Published: (2026)
Contrastive Localized Language-Image Pre-Training
by: Chen, Hong-You, et al.
Published: (2024)
by: Chen, Hong-You, et al.
Published: (2024)
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
by: Chiu, Christopher, et al.
Published: (2024)
by: Chiu, Christopher, et al.
Published: (2024)
Embedding Geometries of Contrastive Language-Image Pre-Training
by: Chou, Jason Chuan-Chih, et al.
Published: (2024)
by: Chou, Jason Chuan-Chih, et al.
Published: (2024)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
by: Tu, Weijie, et al.
Published: (2024)
by: Tu, Weijie, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
by: Xin, Yi, et al.
Published: (2024)
by: Xin, Yi, et al.
Published: (2024)
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
by: Bouhsine, Taha, et al.
Published: (2024)
by: Bouhsine, Taha, et al.
Published: (2024)
Pre-Trained Model Recommendation for Downstream Fine-tuning
by: Bai, Jiameng, et al.
Published: (2024)
by: Bai, Jiameng, et al.
Published: (2024)
Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models
by: Yue, Conghan, et al.
Published: (2024)
by: Yue, Conghan, et al.
Published: (2024)
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
by: Wei, Tianxin, et al.
Published: (2025)
by: Wei, Tianxin, et al.
Published: (2025)
Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification
by: Tam, Jason Kahei, et al.
Published: (2025)
by: Tam, Jason Kahei, et al.
Published: (2025)
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
by: Khurana, Mehar, et al.
Published: (2024)
by: Khurana, Mehar, et al.
Published: (2024)
Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control
by: Avci, Mehmet Yigit, et al.
Published: (2025)
by: Avci, Mehmet Yigit, et al.
Published: (2025)
Resilient Contrastive Pre-training under Non-Stationary Drift
by: Yang, Xiaoyu, et al.
Published: (2025)
by: Yang, Xiaoyu, et al.
Published: (2025)
Confidence-aware Contrastive Learning for Selective Classification
by: Wu, Yu-Chang, et al.
Published: (2024)
by: Wu, Yu-Chang, et al.
Published: (2024)
Probabilistic Language-Image Pre-Training
by: Chun, Sanghyuk, et al.
Published: (2024)
by: Chun, Sanghyuk, et al.
Published: (2024)
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
by: Qu, Helen, et al.
Published: (2024)
by: Qu, Helen, et al.
Published: (2024)
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
by: Alkin, Benedikt, et al.
Published: (2024)
by: Alkin, Benedikt, et al.
Published: (2024)
Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)
by: Chen, Jiahong, et al.
Published: (2024)
A Unified Contrastive Loss for Self-Training
by: Gauffre, Aurelien, et al.
Published: (2024)
by: Gauffre, Aurelien, et al.
Published: (2024)
FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision-Language Models
by: Huang, Chenyu, et al.
Published: (2026)
by: Huang, Chenyu, et al.
Published: (2026)
Multimodal Metadata Assignment for Cultural Heritage Artifacts
by: Rei, Luis, et al.
Published: (2024)
by: Rei, Luis, et al.
Published: (2024)
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)
by: Monsefi, Amin Karimi, et al.
Published: (2025)
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
by: Mulrooney, Alex, et al.
Published: (2024)
by: Mulrooney, Alex, et al.
Published: (2024)
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
by: Shah, Manan, et al.
Published: (2024)
by: Shah, Manan, et al.
Published: (2024)
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
by: Reddy, Arun, et al.
Published: (2023)
by: Reddy, Arun, et al.
Published: (2023)
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
by: Zhou, Yujie, et al.
Published: (2025)
by: Zhou, Yujie, et al.
Published: (2025)
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
by: Hong, Yunqi, et al.
Published: (2025)
by: Hong, Yunqi, et al.
Published: (2025)
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
by: Xie, Ming-Kun, et al.
Published: (2024)
by: Xie, Ming-Kun, et al.
Published: (2024)
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
by: Shiri, Mohammad, et al.
Published: (2024)
by: Shiri, Mohammad, et al.
Published: (2024)
Growing Visual Generative Capacity for Pre-Trained MLLMs
by: Wang, Hanyu, et al.
Published: (2025)
by: Wang, Hanyu, et al.
Published: (2025)
Continual Learning with Pre-Trained Models: A Survey
by: Zhou, Da-Wei, et al.
Published: (2024)
by: Zhou, Da-Wei, et al.
Published: (2024)
Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories
by: Naharas, Nilay, et al.
Published: (2025)
by: Naharas, Nilay, et al.
Published: (2025)
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms
by: Chen, Yifei, et al.
Published: (2024)
by: Chen, Yifei, et al.
Published: (2024)
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment
by: Lv, Song-Lin, et al.
Published: (2025)
by: Lv, Song-Lin, et al.
Published: (2025)
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
by: Dave, Ishan Rajendrakumar, et al.
Published: (2024)
by: Dave, Ishan Rajendrakumar, et al.
Published: (2024)
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
by: Roy, Kankana, et al.
Published: (2025)
by: Roy, Kankana, et al.
Published: (2025)
Fine-Grained Alignment and Noise Refinement for Compositional Text-to-Image Generation
by: Izadi, Amir Mohammad, et al.
Published: (2025)
by: Izadi, Amir Mohammad, et al.
Published: (2025)
Similar Items
-
Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
by: Mamtani, Sumit, et al.
Published: (2025) -
Enhancing Transformer-Based Vision Models: Addressing Feature Map Anomalies Through Novel Optimization Strategies
by: Mamtani, Sumit
Published: (2025) -
Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GAN
by: Thesia, Yash, et al.
Published: (2026) -
Contrastive Localized Language-Image Pre-Training
by: Chen, Hong-You, et al.
Published: (2024) -
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
by: Chiu, Christopher, et al.
Published: (2024)