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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection image-segmentation panoptic-segmentation transformers
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
Image and Bounding Box Annotation Slicer
This easy-to-use library slices (also resizes) images and its bounding box annotations into tiles of specific sizes or any arbitrary number of equal parts. ...
object-detection utilities preprocessing computer-vision
U^2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
object-detection salient-object-detection image-segmentation unet
An Intuitive Guide to Deep Network Architectures
Intuition behind base network architectures like MobileNets, Inception, and ResNet.
object-detection image-classification transfer-learning computer-vision
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
Big GANs Are Watching You
We demonstrate that object saliency masks for GAN-produced images can be obtained automatically with BigBiGAN.
generative-adversarial-networks unet object-saliency big-gan
Deep Learning for Object Detection: A Comprehensive Review
A closer look at Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD.
object-detection convolutional-neural-networks rcnn computer-vision
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