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A developer built an AI basketball coach using Roboflow RF-DETR for detection, MediaPipe for body angles, and OpenCV for analysis and annotation.
YOLO26 is a multi-task computer vision model family released in January 2026, featuring end-to-end detection without Non-Maximum Suppression for lower latency and optimized for edge deployment with improved CPU inference and compact design.
CIPER is a unified transformer framework that jointly performs city-scale retrieval and precise 3-DoF pose estimation from cross-view images, overcoming limitations of cascade pipelines.
Ultralytics YOLO26 introduces a unified real-time vision model family with NMS-free inference, improved training strategies, and multi-task capabilities for detection, segmentation, and pose estimation, achieving state-of-the-art accuracy-latency trade-offs.
This review reframes industrial visual sim-to-real as a domain-gap problem organized by prior availability, distinguishing CAD-guided, CAD-unavailable, and boundary-prior settings to connect CAD-based detection and 6D pose-estimation literature with industrial anomaly and surface-inspection literature.
Explains that 'markerless' motion capture still uses markers but estimates them via webcam instead of expensive equipment, enabling multi-person, scale-aware capture.
SignX proposes a novel framework for continuous sign language recognition that unifies heterogeneous pose formats into a compact latent space and achieves state-of-the-art accuracy with 50× computational acceleration over pixel-space baselines.
RuView is an open-source WiFi sensing platform that uses Channel State Information (CSI) from low-cost ESP32 sensors to detect people, track movement, measure vital signs, and estimate pose through walls without cameras or wearables. The system runs entirely on edge hardware with cryptographic attestation and uses spiking neural networks for local adaptation.