Video Similarity
14 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Video Similarity
Latest papers with no code
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
The alignment model performs temporal and spatial action alignment sequentially at the feature level, leading to more precise measurements of inter-video similarity.
Compound Prototype Matching for Few-shot Action Recognition
Each global prototype is encouraged to summarize a specific aspect from the entire video, for example, the start/evolution of the action.
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation
In this paper, we propose the Tencent-MVSE dataset, which is the first benchmark dataset for the multi-modal video similarity evaluation task.
Video Similarity and Alignment Learning on Partial Video Copy Detection
To address the above issues, we propose the Video Similarity and Alignment Learning (VSAL) approach, which jointly models spatial similarity, temporal similarity and partial alignment.
Self-supervised Video Retrieval Transformer Network
In addition, most retrieval systems are based on frame-level features for video similarity searching, making it expensive both storage wise and search wise.
