HAL (France)
open access
Dual-stream audio–visual Transformer fusion for harmful video content detection
The rapid growth of short-form video platforms has increased young audiences' exposure to harmful content, posing challenges for automated moderation. Existing approaches rely solely on visual information, or incorporate audio only via hand-crafted features or ASR transcripts, overlooking th
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AV-FABLE: Audio-Visual Manipulation Forensics in Long-Form Videos#1455894
- VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning#987622
- Person-of-interest centric timelapse video with AI input on home security … — Ambarella International Lp (US11869241B2)#607538
- AGF-Net: A Robust Multimodal Emotion Recognition Model for Asynchronous Audio-Visual Signals Based on Predictive Dynamic Fusion with Negative Learning#1423443
- STORM-Bench: Evaluating Online Video QA under Evolving and Incomplete Evidence#1105540
Record · ID 1537746
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive