Research map / Video / Video-language understanding
Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use multi-level video, frame, and object representations with dynamic semantic alignment | RVOS · Refer-DAVIS17 val | J &F: 45.1 -> 48.2 | Helped |
| use multi-level video, frame, and object representations with dynamic semantic alignment | RVOS · Refer-YouTube-VOS val | J &F: 47.23 -> 49.70 | Helped |
| add video-level embedding (ablation) | Full Model · Refer-YouTube-VOS val | J: 46.25 -> 48.43 | Helped |
| add frame-level embedding (ablation) | Full Model · Refer-YouTube-VOS val | J: 47.09 -> 48.43 | Helped |
| add object-level embedding (ablation) | Full Model · Refer-YouTube-VOS val | J: 46.95 -> 48.43 | Helped |
| use video-level rather than FCN object encoder (ablation) | Object-level embedding · Refer-YouTube-VOS val | J: 47.24 -> 48.43 | Helped |
| use video-level rather than frame-level object encoder (ablation) | Object-level embedding · Refer-YouTube-VOS val | J: 47.56 -> 48.43 | Helped |
| add dynamic semantic alignment (ablation) | Full Model · Refer-YouTube-VOS val | J: 36.23 -> 48.43 | Helped |
| increase input frames from 1 to 8 (ablation) | Multi-level RVOS · Refer-YouTube-VOS val | J: 46.12 -> 48.11 | Helped |
| add STCN mask propagation (ablation) | Proposed method · Refer-DAVIS17 val | J &F: 53.25 -> 57.94 | Helped |
Closest papers by meaning
- Semantic and Sequential Alignment for Referring Video Object Segmentation (CVPR 2025 · similarity 0.92)
- LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation (CVPR 2024 · similarity 0.91)
- Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation (AAAI 2024 · similarity 0.89)
- Mask Grounding for Referring Image Segmentation (CVPR 2024 · similarity 0.88)
- SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation (CVPR 2025 · similarity 0.88)
- ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation (CVPR 2025 · similarity 0.87)
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