Papers › Temporal Alignment-Free Video Matching for Few-shot Action Recognition

Temporal Alignment-Free Video Matching for Few-shot Action Recognition

8 Apr 2025CVPR 2025 1arXiv:2504.05956archive 2025-07-28

SuBeen Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo

Few-Shot Action Recognition (FSAR) aims to train a model with only a few labeled video instances. A key challenge in FSAR is handling divergent narrative trajectories for precise video matching. While the frame- and tuple-level alignment approaches have been promising, their methods heavily rely on pre-defined and length-dependent alignment units (e.g., frames or tuples), which limits flexibility for actions of varying lengths and speeds. In this work, we introduce a novel TEmporal Alignment-free Matching (TEAM) approach, which eliminates the need for temporal units in action representation and brute-force alignment during matching. Specifically, TEAM represents each video with a fixed set of pattern tokens that capture globally discriminative clues within the video instance regardless of action length or speed, ensuring its flexibility. Furthermore, TEAM is inherently efficient, using token-wise comparisons to measure similarity between videos, unlike existing methods that rely on pairwise comparisons for temporal alignment. Additionally, we propose an adaptation process that identifies and removes common information across classes, establishing clear boundaries even between novel categories. Extensive experiments demonstrate the effectiveness of TEAM. Codes are available at github.com/leesb7426/TEAM.

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Bottleneck_Perceptron_2_layer leesb7426/TEAM/model.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 6d69fb99b137b915 · report
PositionalEncoding leesb7426/TEAM/model.py official repository ran · metamorphic tier: invariant no licence file found · pointer only · 6ae60d8c5e429a3a · report
ScaledDotProductAttention leesb7426/TEAM/model.py official repository ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only · 0060f57ddf7114e9 · report
extract_class_indices leesb7426/TEAM/model.py official repository ran · our draft was wrong fingerprinted no licence file found · pointer only · 17d17d0d53b48796 · report
CNN_FSHead leesb7426/TEAM/model.py official repository unverified no licence file found · pointer only · 452f223140521ecb · report
Discriminative_Pattern_Matching leesb7426/TEAM/model.py official repository unverified no licence file found · pointer only · 5caa732fbf4d1338 · report
TEAM leesb7426/TEAM/model.py official repository unverified no licence file found · pointer only · 84f673c127a6088b · report
TEAM_pos leesb7426/TEAM/model.py official repository unverified no licence file found · pointer only · 05ef23fdf5293c37 · report

Tasks

Action RecognitionFew Shot Action RecognitionFew-Shot action recognition

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