DeepLearning

Deep Learning models of Computer vision

Dimensions

• use of any dataset - cifar, imagenet, kitti, nyu-dataset, Cityscapes
• use of any model - resnet18, ViT, UNet, midas (depth)
• models for detection - faster R-CNN, YOLO, DETR, DINO
• different applications - object classification, object detection, object segmentation
• measure change in performance