2024
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
ECCV 2024poster
"Video temporal grounding (VTG) is a fine-grained video understanding problem that aims to ground relevant clips in untrimmed videos given natural language queries. Most existing VTG models are built upon frame-wise final-layer CLIP features, aided by additional temporal backbones (, SlowFast) with…