iPay fuses RGB and skeleton expert streams via dual-attention and a prior-driven Spatial Difference Discriminator to reach 83.45% accuracy on 500+ real-world payment clips from onboard transit cameras.
Video swin transformer
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
A self-attention-only aggregator over frozen visual embeddings, optionally guided by CLIP-title frame selection, improves short-video recommendation accuracy while cutting training cost.
EV-CLIP introduces mask and context visual prompts to adapt CLIP for improved few-shot video action recognition under visual challenges such as low light and egocentric views, outperforming other efficient methods with backbone-scale-independent efficiency.
citing papers explorer
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iPay: Integrated Payment Action Recognition via Multimodal Networks and Adaptive Spatial Prior Learning
iPay fuses RGB and skeleton expert streams via dual-attention and a prior-driven Spatial Difference Discriminator to reach 83.45% accuracy on 500+ real-world payment clips from onboard transit cameras.
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Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation
A self-attention-only aggregator over frozen visual embeddings, optionally guided by CLIP-title frame selection, improves short-video recommendation accuracy while cutting training cost.
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EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges
EV-CLIP introduces mask and context visual prompts to adapt CLIP for improved few-shot video action recognition under visual challenges such as low light and egocentric views, outperforming other efficient methods with backbone-scale-independent efficiency.