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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
STEFANN: Scene Text Editor using Font Adaptive Neural Network
A generalized method for realistic modification of textual content present in a scene image. ⭐️ Accepted in CVPR 2020.
scene-image scene-text-editor font-adaptive font-generation
Image GPT: Generative Pretraining from Pixels
Transformers trained on pixel sequences can generate coherent image completions and samples.
transformers openai computer-vision image-completion
Jukebox: A Generative Model for Music
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles.
music-generation transformers convolutional-neural-networks jukebox
The objective of this project is to build a multi-class classifier to identify the sound of a bee, cricket or noise.
audio-classification convolutional-neural-networks multilayer-perceptron-network cnn
Locally Masked Convolution for Autoregressive Models
Locally Masked PixelCNN generates natural images in customizable orders like zig-zags and Hilbert Curves.
convolutional-neural-networks autoregression masked-convolutions cifar10
Integrated Gradients for Interpretability
Integrated Gradients is a technique for attributing a classification model's prediction to its input features.
interpretability gradients convolutional-neural-networks deep-learning
Fast Online Object Tracking and Segmentation: A Unifying Approach
We illustrate how to perform both realtime object tracking and semi-supervised video object segmentation using a fully-convolutional Siamese approach.
object-tracking image-segmentation siamese-networks convolutional-neural-networks
Modified network architecture that focuses on improving convergence and reducing training complexity.
python pytorch computer-vision convolutional-neural-networks
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