GPS framework adds self-guided reasoning modules to lightweight VLMs for fine-grained action understanding, claiming performance near GPT-4o with better factual accuracy on a custom CAP-based dataset.
Learning to generalize without bias for open-vocabulary action recognition,
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cs.CV 2years
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TACO proposes Relative Structure Distillation and a lightweight specialization projection to mitigate inconsistency between fine-tuning and evaluation objectives in open-vocabulary video recognition, claiming state-of-the-art results on cross-dataset and base-to-novel benchmarks.
citing papers explorer
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Gold Points Sniper: Self-guided Visual Reasoning in VLM for Fine-grained Action Understanding
GPS framework adds self-guided reasoning modules to lightweight VLMs for fine-grained action understanding, claiming performance near GPT-4o with better factual accuracy on a custom CAP-based dataset.
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TACO: Towards Task-Consistent Open-Vocabulary Adaptation in Video Recognition
TACO proposes Relative Structure Distillation and a lightweight specialization projection to mitigate inconsistency between fine-tuning and evaluation objectives in open-vocabulary video recognition, claiming state-of-the-art results on cross-dataset and base-to-novel benchmarks.