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Found 3 papers, 3 papers with code
vid-TLDR: Training Free Token merging for Light-weight Video Transformer
To tackle these issues, we propose training free token merging for lightweight video Transformer (vid-TLDR) that aims to enhance the efficiency of video Transformers by merging the background tokens without additional training.
Ranked #2 on
Video Retrieval
on SSv2-template retrieval
(using extra training data)
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Multi-hop Knowledge Graph Question Answering (KGQA) is a task that involves retrieving nodes from a knowledge graph (KG) to answer natural language questions.
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
We hence propose a new benchmark, Open-vocabulary Video Question Answering (OVQA), to measure the generalizability of VideoQA models by considering rare and unseen answers.
Ranked #8 on
Visual Question Answering (VQA)
on MSRVTT-QA
