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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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12/03/2021
Neural Pseudo-Label Optimism for the Bank Loan Problem
We study a class of classification problems best exemplified by the bank...
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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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06/30/2020
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Many active learning and search approaches are intractable for industria...
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08/09/2019
A Mask-RCNN Baseline for Probabilistic Object Detection
The Probabilistic Object Detection Challenge evaluates object detection ...
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06/15/2019
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things
In this work, we present a new operator, called Instance Mask Projection...
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04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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03/12/2019
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution
The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
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01/10/2019
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
Recently two-stage detectors have surged ahead of single-shot detectors ...
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10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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03/13/2018
Target Driven Instance Detection
While state-of-the-art general object detectors are getting better and b...
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01/09/2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
This paper improves state-of-the-art on-line trackers that use deep lear...
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07/26/2017
Video Highlight Prediction Using Audience Chat Reactions
Sports channel video portals offer an exciting domain for research on mu...
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03/08/2017
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
We present a transformation-grounded image generation network for novel ...
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02/27/2017
A Dataset for Developing and Benchmarking Active Vision
We present a new public dataset with a focus on simulating robotic visio...
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02/25/2017
Synthesizing Training Data for Object Detection in Indoor Scenes
Detection of objects in cluttered indoor environments is one of the key ...
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01/23/2017
DSSD : Deconvolutional Single Shot Detector
The main contribution of this paper is an approach for introducing addit...
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11/01/2016
Solving Visual Madlibs with Multiple Cues
This paper presents an approach for answering fill-in-the-blank multiple...
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09/19/2016
Fast Single Shot Detection and Pose Estimation
For applications in navigation and robotics, estimating the 3D pose of o...
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08/12/2016
When was that made?
In this paper, we explore deep learning methods for estimating when obje...
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07/31/2016
Modeling Context in Referring Expressions
Humans refer to objects in their environments all the time, especially i...
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12/08/2015
SSD: Single Shot MultiBox Detector
We present a method for detecting objects in images using a single deep ...
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11/11/2015
Piecewise Linear Activation Functions For More Efficient Deep Networks
This submission has been withdrawn by arXiv administrators because it is...
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06/15/2015
ParseNet: Looking Wider to See Better
We present a technique for adding global context to deep convolutional n...
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05/31/2015
Visual Madlibs: Fill in the blank Image Generation and Question Answering
In this paper, we introduce a new dataset consisting of 360,001 focused ...
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09/01/2014