Copertina

Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Bozheng, Liu, Mushui, Wang, Gaoang, Yu, Yunlong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
di: Liu, Mushui, et al.
Pubblicazione: (2024)

OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning
di: Liu, Mushui, et al.
Pubblicazione: (2024)

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
di: Liu, Mushui, et al.
Pubblicazione: (2024)

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
di: Wang, Yilong, et al.
Pubblicazione: (2024)

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
di: Liu, Hongli, et al.
Pubblicazione: (2026)

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
di: Huang, Wenbo, et al.
Pubblicazione: (2024)

Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision
di: He, Weijie, et al.
Pubblicazione: (2024)

Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
di: Li, Yuke, et al.
Pubblicazione: (2024)

DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation
di: Wu, Fangtai, et al.
Pubblicazione: (2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
di: Kumar, Pulkit, et al.
Pubblicazione: (2025)

MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition
di: Xing, Jiazheng, et al.
Pubblicazione: (2023)

DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
di: He, Weijie, et al.
Pubblicazione: (2025)

Task-Specific Distance Correlation Matching for Few-Shot Action Recognition
di: Long, Fei, et al.
Pubblicazione: (2025)

Spatio-temporal Decoupled Knowledge Compensator for Few-Shot Action Recognition
di: Qu, Hongyu, et al.
Pubblicazione: (2026)

Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
di: Guo, Hanyu, et al.
Pubblicazione: (2024)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
di: Huang, Wenbo, et al.
Pubblicazione: (2024)

MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
di: Qu, Hongyu, et al.
Pubblicazione: (2024)

CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation
di: Liu, Mushui, et al.
Pubblicazione: (2024)

Enabling Validation for Robust Few-Shot Recognition
di: Wang, Hanxin, et al.
Pubblicazione: (2025)

Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
di: Markham, Georgia, et al.
Pubblicazione: (2024)

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
di: Hatano, Masashi, et al.
Pubblicazione: (2024)

Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
di: Ni, Xinzhe, et al.
Pubblicazione: (2022)

Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition
di: Qian, Zefeng, et al.
Pubblicazione: (2025)

Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
di: Cao, Congqi, et al.
Pubblicazione: (2025)

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
di: Huang, Wenbo, et al.
Pubblicazione: (2025)

SkeletonAgent: An Agentic Interaction Framework for Skeleton-based Action Recognition
di: Liu, Hongda, et al.
Pubblicazione: (2025)

D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
di: Pei, Wenjie, et al.
Pubblicazione: (2023)

A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination
di: Berti, Stefano, et al.
Pubblicazione: (2026)

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
di: Xu, Huali, et al.
Pubblicazione: (2023)

Context-Aware Pesticide Recommendation via Few-Shot Pest Recognition for Precision Agriculture
di: Ghosh, Anirudha, et al.
Pubblicazione: (2026)

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
di: Chen, Zhi, et al.
Pubblicazione: (2025)

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
di: Ma, Ran, et al.
Pubblicazione: (2024)

Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
di: Liu, Xinyue, et al.
Pubblicazione: (2024)

MetaLab: Few-Shot Game Changer for Image Recognition
di: Qi, Chaofei, et al.
Pubblicazione: (2025)

From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation
di: Liu, Xin, et al.
Pubblicazione: (2024)

A$^2$M$^2$-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition
di: Gao, Zilin, et al.
Pubblicazione: (2025)

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers
di: She, D., et al.
Pubblicazione: (2025)

Hierarchical Compositional Representations for Few-shot Action Recognition
di: Li, Changzhen, et al.
Pubblicazione: (2022)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition
di: Lee, SuBeen, et al.
Pubblicazione: (2025)

Shot-Aware Frame Sampling for Video Understanding
di: Zhao, Mengyu, et al.
Pubblicazione: (2026)