Essays about: "CoCo"

Showing result 6 - 10 of 49 essays containing the word CoCo.

1. 6. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Duruo Li; [2023]
   Keywords : ;

   Abstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE

3. 7. Semi-Supervised Head Detection for Low Resolution Images

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Annie Biby Rapheal; [2023]
   Keywords : Object detection; Semi Supervised Learning; Head detection; Objektdetektion; Semisupervised Learning; Huvuddetektion;

   Abstract : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. READ MORE

4. 8. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
   Keywords : Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

   Abstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE

5. 9. Incorporating Sparse Attention Mechanism into Transformer for Object Detection in Images

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Cuong Duc Dao; [2022]
   Keywords : Detection Transformer; Sparse Attentions; Sparsity; Attention Mechanism; Learnable sparsity; Object Detection; Detektionstransformator; gles attention; gleshet; träningsbar gleshet; objektdetektion;

   Abstract : DEtection TRansformer, DETR, introduces an innovative design for object detection based on softmax attention. However, the softmax operation produces dense attention patterns, i.e., all entries in the attention matrix receive a non-zero weight, regardless of their relevance for detection. READ MORE

6. 10. A Comparative Study on the Importance of Image Resolution in Gesture Recognition

   University essay from KTH/Datavetenskap

   Author : Klara Alpsten; Tora Wallerö; [2022]
   Keywords : ;

   Abstract : Sign language translation applications could provide a whole new avenue of communication. However, translating sign language comes with challenges such as deriving and handling information from images which can be a difficult task for computers. READ MORE