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06/08/2023
R-MAE: Regions Meet Masked Autoencoders
Vision-specific concepts such as "region" have played a key role in exte...
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04/05/2023
Segment Anything
We introduce the Segment Anything (SA) project: a new task, model, and d...
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02/09/2022
Point-Level Region Contrast for Object Detection Pre-Training
In this work we present point-level region contrast, a self-supervised p...
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12/23/2021
SLIP: Self-supervision meets Language-Image Pre-training
Recent work has shown that self-supervised pre-training leads to improve...
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12/20/2021
Mask2Former for Video Instance Segmentation
We find Mask2Former also achieves state-of-the-art performance on video ...
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12/02/2021
Masked-attention Mask Transformer for Universal Image Segmentation
Image segmentation is about grouping pixels with different semantics, e....
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12/02/2021
Recognizing Scenes from Novel Viewpoints
Humans can perceive scenes in 3D from a handful of 2D views. For AI agen...
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07/13/2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Modern approaches typically formulate semantic segmentation as a per-pix...
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04/13/2021
Pointly-Supervised Instance Segmentation
We propose point-based instance-level annotation, a new form of weak sup...
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03/30/2021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
We present Boundary IoU (Intersection-over-Union), a new segmentation ev...
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02/22/2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Invariance to a broad array of image corruptions, such as warping, noise...
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02/01/2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
By design, average precision (AP) for object detection aims to treat all...
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01/07/2021
TrackFormer: Multi-Object Tracking with Transformers
We present TrackFormer, an end-to-end multi-object tracking and segmenta...
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05/26/2020
End-to-End Object Detection with Transformers
We present a new method that views object detection as a direct set pred...
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12/17/2019
PointRend: Image Segmentation as Rendering
We present a new method for efficient high-quality image segmentation of...
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04/02/2019
Exploring Randomly Wired Neural Networks for Image Recognition
Neural networks for image recognition have evolved through extensive man...
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01/08/2019
Panoptic Feature Pyramid Networks
The recently introduced panoptic segmentation task has renewed our commu...
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05/24/2018
WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration
The problem of word sense disambiguation (WSD) is considered in the arti...
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05/24/2018
WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration
The problem of word sense disambiguation (WSD) is considered in the arti...
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03/05/2018
Calculated attributes of synonym sets
The goal of formalization, proposed in this paper, is to bring together,...
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01/03/2018
Panoptic Segmentation
We propose and study a novel 'Panoptic Segmentation' (PS) task. Panoptic...
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02/26/2017
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
This paper addresses the task of designing a modular neural network arch...
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12/07/2016
Global Hypothesis Generation for 6D Object Pose Estimation
This paper addresses the task of estimating the 6D pose of a known 3D ob...
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11/24/2016
InstanceCut: from Edges to Instances with MultiCut
This work addresses the task of instance-aware semantic segmentation. Ou...
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11/14/2016
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
We state a combinatorial optimization problem whose feasible solutions d...
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06/22/2016