18 hours ago · Open Vocabulary Object Detection (OVD) aims to extend the detector's recognition capability to classes not present in the training data using auxiliary data or ...

12 hours ago · This technique is used in computer vision to identify important objects in an image, such as humans or vehicles in thermal images. This technique has been ...

Object Detection subtasks · Object Tracking · Action Recognition · See all 23 tasks

19 hours ago · This paper studies zero-shot object recognition using event camera data. Guided by CLIP, which is pre-trained on RGB images, existing approaches achieve zero- ...

10 hours ago · Multi-Object Detection: Based on various scenarios, identify several objects and monitor them by creating efficient techniques. Semantic Segmentation: To detect ...

16 hours ago · Deep Feature Transformation (DFT) is a technique used to enhance the performance of computer vision models by augmenting existing images with additional ...

3 hours ago · Browse State-of-the-Art · Semantic Segmentation · Image Classification · Object Detection · Representation Learning · Contrastive Learning · Language Modelling.

11 hours ago · Research Concept: Evaluate the video data by designing efficient object recognition and monitoring methods. ... computer vision, machine learning and image ...

11 hours ago · Situate the virtual products on a user in an exact manner by using object recognition methods. Main Components: Data Collection: Regarding the images of ...

13 hours ago · This guide explores the importance, methods, implementations, and benefits of hardware acceleration in the context of computer vision. Importance of Hardware ...