[KongchangAI]
Unverified50% confidenceFactExact time

FiLM was proposed by Perez et al. in 2018, originally for visual question answering; its core idea is to use a conditioning signal to generate scaling parameter γ and shift parameter β to perform channel-wise affine transformation on features.

1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/931300
API
curl https://kongchang.com/api/v1/knowledge/claims/931300
MCP
get_claim(id=931300)