If you’ve worked on computer vision tasks like object detection or instance segmentation, you’ve likely encountered the challenge of modeling…
Instance Segmentation
FastSAM: Real-Time Image Segmentation at 50x Speed Without Sacrificing Accuracy 8193
In today’s fast-paced computer vision landscape, high-quality image segmentation is no longer a luxury—it’s a necessity. Yet, despite the groundbreaking…
OMG-Seg: One Unified Model for All Segmentation Tasks—No More Fragmented Pipelines 1338
For years, computer vision practitioners have juggled a patchwork of specialized models to tackle different segmentation tasks—semantic, instance, panoptic, video,…
YOLOv9: Train-from-Scratch Object Detection That Beats Pretrained Models with Programmable Gradient Information 9391
YOLOv9 marks a significant leap forward in real-time object detection by directly confronting a long-standing but often overlooked problem in…
detrex: A Unified, Modular Benchmark for Detection Transformers—Accelerate Object Detection, Segmentation, and Pose Estimation Research 2250
If you’re evaluating object detection frameworks for a new computer vision project, you’ve likely encountered the rise of DETR (Detection…
RepViT: Real-Time Mobile Vision with Pure CNN Speed and ViT-Level Accuracy 1009
In the world of on-device computer vision, the tension between speed and accuracy has long defined what’s possible. Engineers building…
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,…