metadata
license: apache-2.0
language:
- en
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
tags:
- video temporal grounding
- dense video caption
- video highlight detection
Overview
In this work
- We model the videos by a series of events, and propose causal event modeling framework to capture videos' inherent structure.
- We present a novel task-interleaved video LLM model, TRACE, tailored to implement the causal event modeling framework through the sequential encoding/decoding of timestamps, salient scores, and textual captions.
Model Zoo
| Checkpoints | Description | URL |
|---|---|---|
| Initialization | Weights initialized from VideoLLaMA2 | trace-init |
| Stage-1 | Model checkpoints trained after stage-1 | trace-stage1 |
| Stage-2 | Model checkpoints trained after stage-2 | trace |
Results
| Youcook2 (Zero-Shot) | CIDER | METEOR | SODA_c | F1 |
|---|---|---|---|---|
| TRACE | 8.1 | 2.8 | 2.2 | 22.4 |
| Charades-STA (Zero-Shot) | 0.3 | 0.5 | 0.7 | mIOU |
|---|---|---|---|---|
| TRACE | 58.6 | 40.3 | 19.4 | 38.7 |
| QVHighlights (Zero-Shot) | mAP | Hit@1 |
|---|---|---|
| TRACE | 26.8 | 42.7 |
| ActivityNet-DVC | CIDER | METEOR | SODA_c | F1 |
|---|---|---|---|---|
| TRACE | 25.9 | 6.0 | 6.4 | 39.3 |
| ActivityNet-MR | 0.3 | 0.5 | 0.7 | mIOU |
|---|---|---|---|---|
| TRACE | 53.0 | 37.7 | 24.0 | 39.0 |