55 citations · 62 across the 5 of their papers we have counts for
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cs.CL2023
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Ilker Kesen, Andrea Pedrotti, Mustafa Dogan +8
With the ever-increasing popularity of pretrained Video-Language Models (VidLMs), there is a pressing need to develop robust evaluation methodologies that delve deeper into their v…
cs.CL2023★ 1 cited
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
Michele Cafagna, Kees van Deemter, Albert Gatt
Current captioning datasets focus on object-centric captions, describing the visible objects in the image, e.g. "people eating food in a park". Although these datasets are useful t…