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DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution
Previous top-performing approaches for point cloud instance segmentation...
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Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
We propose Geo-PIFu, a method to recover a 3D mesh from a monocular colo...
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FCOS: A simple and strong anchor-free object detector
In computer vision, object detection is one of most important tasks, whi...
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Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Scene text detection and recognition has received increasing research at...
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Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
3D point cloud semantic and instance segmentation is crucial and fundame...
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Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition
A collection of approaches based on graph convolutional networks have pr...
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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection
Omnidirectional scene text detection has received increasing research at...
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LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning
We describe a policy learning approach to map visual inputs to driving c...
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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
With an increasing demand for training powers for deep learning algorith...
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FCOS: Fully Convolutional One-Stage Object Detection
We propose a fully convolutional one-stage object detector (FCOS) to sol...
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Knowledge Adaptation for Efficient Semantic Segmentation
Both accuracy and efficiency are of significant importance to the task o...
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Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Recent semantic segmentation methods exploit encoder-decoder architectur...
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Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
We present a method to infer 3D pose and shape of vehicles from a single...
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GIF2Video: Color Dequantization and Temporal Interpolation of GIF images
Graphics Interchange Format (GIF) is a highly portable graphics format t...
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GeoNet: Deep Geodesic Networks for Point Cloud Analysis
Surface-based geodesic topology provides strong cues for object semantic...
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Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
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FashionNet: Personalized Outfit Recommendation with Deep Neural Network
With the rapid growth of fashion-focused social networks and online shop...
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Single Shot TextSpotter with Explicit Alignment and Attention
Text detection and recognition in natural images have long been consider...
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Detecting Text in Natural Image with Connectionist Text Proposal Network
We propose a novel Connectionist Text Proposal Network (CTPN) that accur...
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Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
We introduce a new top-down pipeline for scene text detection. We propos...
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Text-Attentional Convolutional Neural Networks for Scene Text Detection
Recent deep learning models have demonstrated strong capabilities for cl...
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