If you’re evaluating object detection frameworks for a new computer vision project, you’ve likely encountered the rise of DETR (Detection…
Object Detection
D-FINE: Real-Time Object Detection with DETR-Level Accuracy and No Inference Overhead 2756
Object detection has long faced a fundamental trade-off: high accuracy or real-time speed—but rarely both. Enter D-FINE, a breakthrough real-time…
AM-RADIO: Unify Vision Foundation Models into One High-Performance Backbone for Multimodal, Segmentation, and Detection Tasks 1357
In modern computer vision, practitioners often juggle multiple foundation models—CLIP for vision-language alignment, DINOv2 for dense feature extraction, and SAM…
CARAFE: Boost Dense Prediction Accuracy with Content-Aware, Lightweight Feature Upsampling 32164
Feature upsampling is a critical but often overlooked component in modern computer vision pipelines. Whether you’re building an object detector,…
PP-PicoDet: Real-Time Object Detection with SOTA Accuracy on Mobile and Edge Devices 13974
In today’s era of intelligent edge computing, deploying high-performance computer vision models on resource-constrained devices like smartphones, embedded sensors, and…