Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …
Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe
Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending
and drawing extensive attention both from industry and academia. Conventional …
and drawing extensive attention both from industry and academia. Conventional …
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
In this paper, we develop an open-set object detector, called Grounding DINO, by marrying
Transformer-based detector DINO with grounded pre-training, which can detect arbitrary …
Transformer-based detector DINO with grounded pre-training, which can detect arbitrary …
Detrs beat yolos on real-time object detection
The YOLO series has become the most popular framework for real-time object detection due
to its reasonable trade-off between speed and accuracy. However we observe that the …
to its reasonable trade-off between speed and accuracy. However we observe that the …
Diffusiondet: Diffusion model for object detection
We propose DiffusionDet, a new framework that formulates object detection as a denoising
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
Segment anything in high quality
Abstract The recent Segment Anything Model (SAM) represents a big leap in scaling up
segmentation models, allowing for powerful zero-shot capabilities and flexible prompting …
segmentation models, allowing for powerful zero-shot capabilities and flexible prompting …
Oneformer: One transformer to rule universal image segmentation
Abstract Universal Image Segmentation is not a new concept. Past attempts to unify image
segmentation include scene parsing, panoptic segmentation, and, more recently, new …
segmentation include scene parsing, panoptic segmentation, and, more recently, new …
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
CY Wang, A Bochkovskiy… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Real-time object detection is one of the most important research topics in computer vision.
As new approaches regarding architecture optimization and training optimization are …
As new approaches regarding architecture optimization and training optimization are …
Universal instance perception as object discovery and retrieval
All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …
as category names, language expressions, and target annotations, but this complete field …
Detrs with collaborative hybrid assignments training
In this paper, we provide the observation that too few queries assigned as positive samples
in DETR with one-to-one set matching leads to sparse supervision on the encoder's output …
in DETR with one-to-one set matching leads to sparse supervision on the encoder's output …