Abstract: Single-Domain Generalization Object Detection (Single-DGOD) refers to training a model with only one source domain, enabling the model to generalize to any unseen domain. For instance, a ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...
DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Experts reveal Evelyn Stealer malware abusing VS Code extensions to steal developer credentials, browser data, and ...
Abstract: Although existing camouflaged object detection (COD) approaches have developed various strategies to improve performance, there remains plenty of room for further improvement. The primary ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results