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cs.CV2026
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
Luc P. J. Sträter, Hazel Doughty
Parameter-efficient fine-tuning (PEFT) and probing enable adaptation of foundation models using only a small number of trainable parameters, making it attractive for video understa…
cs.CV2026
Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
Kaiting Liu, Hazel Doughty
Video recognition models are typically trained on fixed taxonomies which are often too coarse, collapsing distinctions in object, manner or outcome under a single label. As tasks a…