Trending Research
Self-supervised Pretraining of Visual Features in the Wild
Recently, self-supervised learning methods like MoCo, SimCLR, BYOL and SwAV have reduced the gap with supervised methods.
Ranked #1 on
Self-Supervised Image Classification
on ImageNet (finetuned)
(using extra training data)
SELF-SUPERVISED IMAGE CLASSIFICATION SELF-SUPERVISED LEARNING SEMI-SUPERVISED IMAGE CLASSIFICATION
ContraGAN: Contrastive Learning for Conditional Image Generation
NeurIPS 2020
• POSTECH-CVLab/PyTorch-StudioGAN
• 
The discriminator of ContraGAN discriminates the authenticity of given samples and minimizes a contrastive objective to learn the relations between training images.
Ranked #6 on
Conditional Image Generation
on CIFAR-10
(FID metric)
Generative Adversarial Transformers
We introduce the GANsformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling.
Ranked #1 on
Image Generation
on LSUN Bedroom 256 x 256
(FID-10k-training-steps metric)
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
First, WIT is the largest multimodal dataset by the number of image-text examples by 3x (at the time of writing).
Ranked #1 on
Text-Image Retrieval
on WIT
Towards Open World Object Detection
• JosephKJ/OWOD
•
Humans have a natural instinct to identify unknown object instances in their environments.
Ranked #1 on
Open World Object Detection
on PASCAL VOC 2007
Recipes for building an open-domain chatbot
Building open-domain chatbots is a challenging area for machine learning research.
Monster Mash: A Single-View Approach to Casual 3D Modeling and Animation
Monster Mash is a new sketch-based modeling and animation tool that allows you to quickly sketch a character, inflate it into 3D, and promptly animate it.
Transformer in Transformer
• lucidrains/transformer-in-transformer
•
By stacking the TNT blocks, we build the TNT model for image recognition.
Ranked #5 on
Image Classification
on CIFAR-10
Image-to-image Translation via Hierarchical Style Disentanglement
• imlixinyang/HiSD
•
Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation with diverse styles) tasks.
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
• whai362/PVT
•
Unlike the recently-proposed Transformer model (e. g., ViT) that is specially designed for image classification, we propose Pyramid Vision Transformer~(PVT), which overcomes the difficulties of porting Transformer to various dense prediction tasks.
Ranked #31 on
Object Detection
on COCO minival
IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION