Idanwo Ipin Panoptic

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Kini ipin panoptic ṣe sọtọ si gbogbo ẹbun ni aworan kan?
   • Aami ẹka kan, pẹlu ID apẹẹrẹ fun awọn nkan kika
   • Nikan kan ijinle iye
   • A nikan bounding apoti
   • Ipele blur kan
2. Ni awọn ọrọ-ọrọ panoptic, kini awọn kilasi 'nkan'?
   • Awọn nkan kika bi awọn ọkọ ayọkẹlẹ ati eniyan
   • Awọn agbegbe amorphous bi ọrun, opopona, tabi koriko
   • Awọn akole ọrọ ni aworan
   • Awọn metadata kamẹra
3. Kini aropin akọkọ ti ipin atunmọ ti ipin panoptic bori?
   • Ko le fi aami si ọrun
   • O ṣiṣẹ nikan lori fidio
   • Ko le ṣe iyatọ awọn iṣẹlẹ kọọkan ti ẹka kanna
   • O foju gbogbo abẹlẹ
4. Metiriki wo ni o lo lati ṣe iṣiro didara ipin panoptic?
   • Awọn fireemu fun iṣẹju-aaya
   • ratio funmorawon
   • Awọ išedede
   • Didara Panoptic (PQ)
5. What does segmentation quality (SQ) measure within Panoptic Quality?
   • The average IoU of matched predicted and ground-truth segments
   • The number of images in the dataset
   • The speed of inference
   • The fraction of classes that are things
6. Iru faaji ode oni wo ni o mu awọn nkan mejeeji ati nkan ni iṣọkan kan, awoṣe ti o da lori ibeere?
   • JPEG
   • Mask2Former
   • ResNet-18 nikan
   • Ajọ-orisun ofin
7. How is Panoptic Quality (PQ) decomposed in the original formulation?
   • As image resolution multiplied by object count
   • As precision plus recall only
   • As segmentation quality multiplied by recognition quality
   • As frame rate divided by latency
8. Why can a single PQ score conceal useful diagnostic information?
   • PQ measures only image brightness
   • PQ excludes stuff classes
   • PQ is not computed from predictions
   • Segmentation and recognition errors can contribute differently to the aggregate