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05/10/2023
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
We present Integrated Multimodal Perception (IMP), a simple and scalable...
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10/04/2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
This paper presents MOAT, a family of neural networks that build on top ...
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07/21/2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for adva...
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06/17/2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-base...
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05/30/2022
TubeFormer-DeepLab: Video Mask Transformer
We present TubeFormer-DeepLab, the first attempt to tackle multiple core...
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03/15/2022
Surrogate Gap Minimization Improves Sharpness-Aware Training
The recently proposed Sharpness-Aware Minimization (SAM) improves genera...
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06/17/2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...
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02/23/2021
STEP: Segmenting and Tracking Every Pixel
In this paper, we tackle video panoptic segmentation, a task that requir...
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12/09/2020
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
In this paper, we present ViP-DeepLab, a unified model attempting to tac...
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12/02/2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
We introduce a novel representation learning method to disentangle pose-...
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12/01/2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
We present MaX-DeepLab, the first end-to-end model for panoptic segmenta...
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10/23/2020
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Recognition of human poses and activities is crucial for autonomous syst...
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05/20/2020
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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05/20/2020
Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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04/26/2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute...
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03/17/2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Convolution exploits locality for efficiency at a cost of missing long r...
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01/15/2020
EEV Dataset: Predicting Expressions Evoked by Diverse Videos
When we watch videos, the visual and auditory information we experience ...
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12/02/2019
View-Invariant Probabilistic Embedding for Human Pose
Depictions of similar human body configurations can vary with changing v...
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11/22/2019
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast ...
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10/10/2019
Panoptic-DeepLab
We present Panoptic-DeepLab, a bottom-up and single-shot approach for pa...
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06/13/2019
The iMaterialist Fashion Attribute Dataset
Large-scale image databases such as ImageNet have significantly advanced...
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06/04/2019
Geo-Aware Networks for Fine Grained Recognition
Fine grained recognition distinguishes among categories with subtle visu...
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05/06/2019
Searching for MobileNetV3
We present the next generation of MobileNets based on a combination of c...
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02/25/2019
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Many of the recent successful methods for video object segmentation (VOS...
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01/10/2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Recently, Neural Architecture Search (NAS) has successfully identified n...
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09/11/2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
The design of neural network architectures is an important component for...
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04/09/2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
This work proposes an automated algorithm, called NetAdapt, that adapts ...
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02/07/2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Spatial pyramid pooling module or encode-decoder structure are used in d...
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12/15/2017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting com...
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12/13/2017
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
In this work, we tackle the problem of instance segmentation, the task o...
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12/01/2017
Improving Smiling Detection with Race and Gender Diversity
Recent progress in deep learning has been accompanied by a growing conce...
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07/20/2017
The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
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07/19/2017
Learning Unified Embedding for Apparel Recognition
In apparel recognition, specialized models (e.g. models trained for a pa...
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06/17/2017
Rethinking Atrous Convolution for Semantic Image Segmentation
In this work, we revisit atrous convolution, a powerful tool to explicit...
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04/17/2017