Search Results

Trust-PCL: An Off-Policy Trust Region Method for Continuous Control

tensorflow/models ICLR 2018

When evaluated on a number of continuous control tasks, Trust-PCL improves the solution quality and sample efficiency of TRPO.

Continuous Control Reinforcement Learning (RL)

Semi-Supervised Sequence Modeling with Cross-View Training

tensorflow/models EMNLP 2018

We therefore propose Cross-View Training (CVT), a semi-supervised learning algorithm that improves the representations of a Bi-LSTM sentence encoder using a mix of labeled and unlabeled data.

CCG Supertagging Dependency Parsing +7

MoViNets: Mobile Video Networks for Efficient Video Recognition

tensorflow/models CVPR 2021

We present Mobile Video Networks (MoViNets), a family of computation and memory efficient video networks that can operate on streaming video for online inference.

Action Classification Action Recognition +4

Data-Efficient Hierarchical Reinforcement Learning

tensorflow/models NeurIPS 2018

In this paper, we study how we can develop HRL algorithms that are general, in that they do not make onerous additional assumptions beyond standard RL algorithms, and efficient, in the sense that they can be used with modest numbers of interaction samples, making them suitable for real-world problems such as robotic control.

Hierarchical Reinforcement Learning reinforcement-learning +1

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

tensorflow/models ECCV 2018

The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter networks can capture sharper object boundaries by gradually recovering the spatial information.

 Ranked #1 on Semantic Segmentation on PASCAL VOC 2012 test (using extra training data)

Image Classification Image Segmentation +3

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

tensorflow/models CVPR 2019

Many of the recent successful methods for video object segmentation (VOS) are overly complicated, heavily rely on fine-tuning on the first frame, and/or are slow, and are hence of limited practical use.

Object Segmentation +3

Filtering Variational Objectives

tensorflow/models NeurIPS 2017

When used as a surrogate objective for maximum likelihood estimation in latent variable models, the evidence lower bound (ELBO) produces state-of-the-art results.

Unifying Deep Local and Global Features for Image Search

tensorflow/models ECCV 2020

Image retrieval is the problem of searching an image database for items that are similar to a query image.

Dimensionality Reduction Image Retrieval +1

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

tensorflow/models NeurIPS 2016

We study the problem of synthesizing a number of likely future frames from a single input image.