New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

Abstract: Camouflaged object detection (COD) remains a challenging task in computer vision due to the intrinsic similarity between camouflaged objects and their backgrounds. Traditional methods often ...

Abstract: In order to address the challenges faced in detecting objects in UAV aerial images, we propose an enhanced YOLOv8-CSD object detection algorithm. Our aim is to overcome issues such as low ...

The public release improves audio, speech, debugging, and developer experience. Additionally, a more cost-effective mini ...

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 ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...