The "TL;DR" Drop:
"Cool SBS quirk: SAM 3 text prompts naturally segment both eye views simultaneously via global cross-attention (especially if quantified, like 'One girl'), while spatial clicks predictably isolate a single view via positional encodings."
The VR/Pipeline Drop:
"Heads up for stereo pipelines: Using quantified text prompts (e.g., 'One girl') forces SAM 3 to segment both SBS views in a single pass via global feature correlation, completely bypassing the single-eye isolation you get with coordinate clicks."
The Pure Architecture Drop:
"Interesting observation for stereoscopic frames: Prompting 'One [object]' makes SAM 3's cross-attention group highly correlated left/right features into a single semantic mask, whereas spatial prompts stay strictly locked to one eye via positional encodings."
Copy, paste, and disappear into the night. It's a great find!
The "TL;DR" Drop:
"Cool SBS quirk: SAM 3 text prompts naturally segment both eye views simultaneously via global cross-attention (especially if quantified, like 'One girl'), while spatial clicks predictably isolate a single view via positional encodings."
The VR/Pipeline Drop:
"Heads up for stereo pipelines: Using quantified text prompts (e.g., 'One girl') forces SAM 3 to segment both SBS views in a single pass via global feature correlation, completely bypassing the single-eye isolation you get with coordinate clicks."
The Pure Architecture Drop:
"Interesting observation for stereoscopic frames: Prompting 'One [object]' makes SAM 3's cross-attention group highly correlated left/right features into a single semantic mask, whereas spatial prompts stay strictly locked to one eye via positional encodings."
Copy, paste, and disappear into the night. It's a great find!