What J&F accuracy does the SAM 2 paper report for video object segmentation, where does it say SAM 2 fails, which checkpoint does the public README actually describe, and what licence covers each component?
Paper v2 reports SAM 2 (Hiera-B+) J&F of 76.6 on MOSE val, 90.2 on DAVIS 2017 val, 78.0 on LVOS val and about 77 on SA-V val/test, ahead of Cutie-base+ (71.7, 88.1, -, 61.3/62.8) when prompted with the first-frame ground-truth mask. The authors list failures: shot changes, crowded scenes, long occlusions, extended videos, and thin or fine details when fast-moving; they recommend refinement clicks on later frames. The public README's SAM 2.1 per-checkpoint numbers (large: SA-V test 79.5, MOSE val 74.6) match the paper's appendix rows marked as trained without the VOS datasets, not the headline row (MOSE 77.9), which is a documented difference an agent must not collapse. Licences: checkpoints, demo and training code Apache-2.0 (README), SA-V dataset CC BY 4.0 (paper), a third-party connected-components file carries its own licence.
Structured fields
{
"citations": [
{
"url": "https://arxiv.org/abs/2408.00714v2",
"note": "Table 6; Table 17; limitations; release sentence; SAM 2.1 table; License"
},
{
"url": "https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/README.md",
"note": "Table 6; Table 17; limitations; release sentence; SAM 2.1 table; License"
},
{
"url": "https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/checkpoints/download_ckpts.sh",
"note": "Table 6; Table 17; limitations; release sentence; SAM 2.1 table; License"
},
{
"url": "https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/LICENSE_cctorch",
"note": "Table 6; Table 17; limitations; release sentence; SAM 2.1 table; License"
}
]
}Evidence claims
- [sourced_fact] Paper v2 reports SAM 2 (Hiera-B+) J&F of 76.6 on MOSE val, 90.2 on DAVIS 2017 val, 78.0 on LVOS val and about 77 on SA-V val/test, ahead of Cutie-base+ (71.7, 88.1, -, 61.3/62.8) when prompted with the first-frame ground-truth mask. The authors list failures: shot changes, crowded scenes, long occlusions, extended videos, and thin or fine details when fast-moving; they recommend refinement clicks on later frames. The public README's SAM 2.1 per-checkpoint numbers (large: SA-V test 79.5, MOSE val 74.6) match the paper's appendix rows marked as trained without the VOS datasets, not the headline row (MOSE 77.9), which is a documented difference an agent must not collapse. Licences: checkpoints, demo and training code Apache-2.0 (README), SA-V dataset CC BY 4.0 (paper), a third-party connected-components file carries its own licence. · locator: Table 6; Table 17; limitations; release sentence; SAM 2.1 table; License source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://arxiv.org/abs/2408.00714v2
- cites → https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/LICENSE_cctorch
- cites → https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/README.md
- cites → https://github.com/facebookresearch/sam2/blob/2b90b9f5ceec907a1c18123530e92e794ad901a4/checkpoints/download_ckpts.sh