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cs.CV2022★ 7 cited
Vision Transformers provably learn spatial structure
Samy Jelassi, Michael E. Sander, Yuanzhi Li
Vision Transformers (ViTs) have achieved comparable or superior performance than Convolutional Neural Networks (CNNs) in computer vision. This empirical breakthrough is even more r…
cs.CV2022★ 2 cited
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
Tao He, Lianli Gao, Jingkuan Song +1
Scene graph generation (SGG) is a fundamental task aimed at detecting visual relations between objects in an image. The prevailing SGG methods require all object classes to be give…