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Transfer Learning
2362 directly classified papers
Papers per year
2008: 1
2011: 1
2013: 6
2014: 4
2015: 11
2016: 21
2017: 48
2018: 83
2019: 184
2020: 296
2021: 309
2022: 356
2023: 320
2024: 366
2025: 348
2026: 8
Papers
Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition
WACV 2026
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
WACV 2026
Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation
WACV 2026
CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation
WACV 2026
Test Time Adaptation Using Adaptive Quantile Recalibration
WACV 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
WACV 2026
Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams
WACV 2026
Deepfake Detection that Generalizes Across Benchmarks
WACV 2026
Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models
ICCV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack
ICCV 2025
Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories
ICCV 2025
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
ICCV 2025
Amodal Depth Anything: Amodal Depth Estimation in the Wild
ICCV 2025
D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
ICCV 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
CVPR 2025
FRET: Feature Redundancy Elimination for Test Time Adaptation
ICCV 2025
Adaptive Parameter Selection for Tuning Vision-Language Models
CVPR 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product
ICCV 2025
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
ICCV 2025
Unlocking Generalization Power in LiDAR Point Cloud Registration
CVPR 2025
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
CVPR 2025
Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
CVPR 2025
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video
CVPR 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
CVPR 2025
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