Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data.
Using our proposed efficient additive attention, we build a series of models called "SwiftFormer" which achieves state-of-the-art performance in terms of both accuracy and mobile inference speed.
Owing to the success of transformer models, recent works study their applicability in 3D medical segmentation tasks.
Since training on a similar scale for videos is infeasible, recent approaches focus on the effective transfer of image-based CLIP to the video domain.
Pre-trained vision-language (V-L) models such as CLIP have shown excellent generalization ability to downstream tasks.
Ranked #1 on Prompt Engineering on FGVC-Aircraft
Two popular forms of weak-supervision used in open-vocabulary detection (OVD) include pretrained CLIP model and image-level supervision.
Ranked #1 on Open Vocabulary Object Detection on OpenImages-v4
This has been a long-standing question in computer vision.
Ranked #1 on Class-agnostic Object Detection on COCO