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Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs
[article]
2022
arXiv
pre-print
Dynamic scene graph generation from a video is challenging due to the temporal dynamics of the scene and the inherent temporal fluctuations of predictions. We hypothesize that capturing long-term temporal dependencies is the key to effective generation of dynamic scene graphs. We propose to learn the long-term dependencies in a video by capturing the object-level consistency and inter-object relationship dynamics over object-level long-term tracklets using transformers. Experimental results
arXiv:2112.09828v2
fatcat:idcdnrnbwfbovc6vtmmmesn56i