Trending Research
droidlet: modular, heterogenous, multi-modal agents
In recent years, there have been significant advances in building end-to-end Machine Learning (ML) systems that learn at scale.
Dota 2 with Large Scale Deep Reinforcement Learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game.
Zero-Shot Text-to-Image Generation
Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset.
Ranked #2 on
Zero-Shot Text-to-Image Generation
on COCO
(FID-0 metric)
Contextual Transformer Networks for Visual Recognition
JDAI-CV/CoTNet
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Such design fully capitalizes on the contextual information among input keys to guide the learning of dynamic attention matrix and thus strengthens the capacity of visual representation.
Open-World Entity Segmentation
We introduce a new image segmentation task, termed Entity Segmentation (ES) with the aim to segment all visual entities in an image without considering semantic category labels.
YOLOX: Exceeding YOLO Series in 2021
Megvii-BaseDetection/YOLOX
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In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.
Ranked #41 on
Object Detection
on COCO test-dev
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
However, we demonstrate that formalized fairness metrics and quantitative analysis on their own are insufficient for capturing the risk of representational harm in automatic cropping.
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention
In particular, CEL blends each embedding with multiple patches of different scales, providing the model with cross-scale embeddings.
NPMs: Neural Parametric Models for 3D Deformable Shapes
Parametric 3D models have enabled a wide variety of tasks in computer graphics and vision, such as modeling human bodies, faces, and hands.
External-Attention-pytorch
xmu-xiaoma666/External-Attention-pytorch
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arXiv preprint 2021
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
