Unverified50% confidenceFactExact time
Dense 200 is a grounding evaluation set for dense scenes, in which scenes contain a large number of objects that occlude one another and differ greatly in size.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFor crowded/overlapping chick scenarios, instance segmentation can be used to separate overlapping targets via pixel-level masks, or when a detection bounding box area exceeds the average area of a single chick, the count can be estimated by dividing the area proportionally.61% similarUnverifiedSlot Attention was proposed by Locatello et al. in 2020, iteratively assigning image features to a fixed number of slot vectors through competitive attention.59% similarUnverifiedWhen field images contain multiple individuals, complex backgrounds, and occlusion, a two-stage design of locating first and then recognizing improves accuracy and reduces missed detections more than single-stage end-to-end classification.59% similarUnverifiedBounding boxes use only rectangles to locate targets, with low annotation cost and fast speed, suitable for scenes with little occlusion between targets; segmentation masks outline target contours pixel by pixel, enabling precise differentiation of overlapping targets.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1017106API
curl https://kongchang.com/api/v1/knowledge/claims/1017106MCP
get_claim(id=1017106)