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Found 5 papers, 1 papers with code
VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
Video temporal grounding (VTG) aims to locate specific temporal segments from an untrimmed video based on a linguistic query.
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Zero-shot Moment Retrieval
on QVHighlights
Pyramid Feature Attention Network for Monocular Depth Prediction
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE).
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
First, MiniGPT-4 is employed to generate the detailed description of the video frame and rewrite the query statement, fed into the encoder as new features.
MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic.
Jitter: Random Jittering Loss Function
As Jitter point acting as a random factor, we actually add some randomness to the loss function, which is consistent with the fact that there exists innumerable random behaviors in the learning process of the machine learning model and is supposed to make the model more robust.
