SyncRA: Learning Temporal Correspondence in Omni-Modal Models
cs.CV, cs.AI, cs.MM
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Look, Listen and Learn
- CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment
- OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains
- AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction
- MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
- LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
- WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
- MMBench: Is Your Multi-modal Model an All-around Player?
- LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
- Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
- Representation Learning with Contrastive Predictive Coding
- Qwen2.5-Omni Technical Report
- Qwen3-Omni Technical Report
- Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
- AVTrace: Diagnosing Audio-Visual Temporal Reasoning in Omni Models
- Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models