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Found 6 papers, 3 papers with code
SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector
Ablation experiments demonstrate that both of them are effective in mitigating the impact of open-world knowledge distillation on the learning of known objects.
Detecting the open-world objects with the help of the Brain
We propose leveraging the VL as the ``Brain'' of the open-world detector by simply generating unknown labels.
FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection
HSAM and TAM semantically align and merge the extracted features and query embeddings in the hierarchical spatial and task perspectives in turn.
Ranked #6 on
Human-Object Interaction Detection
on HICO-DET
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection
Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects.
Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification
Finally, the distance between vehicle appearances is presented by the discriminative region features and multi-view features together.
Dynamic anticipation by Cdk2/Cyclin A-bound p27 mediates signal integration in cell cycle regulation
p27$^{Kip1}$ (p27) is an intrinsically disordered protein (IDP) that folds upon binding to cyclin-dependent kinase (Cdk)$/$cyclin complexes (e. g., Cdk2$/$cyclin A), inhibiting their catalytic activity and causing cell cycle arrest.
