Code DAO
Dec 22, 2021 · Artificial Intelligence
How Context R-CNN Leverages Temporal Context to Detect Occluded Objects
The article reviews the Context R-CNN paper, which introduces short‑term and long‑term memory banks and an attention mechanism to incorporate temporal context from multiple frames captured by a fixed camera, enabling robust detection of partially occluded, low‑light, distant, or background‑cluttered objects, and shows quantitative gains over standard Faster R‑CNN.
Context R-CNNFaster R-CNNattention mechanism
0 likes · 6 min read
