About

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

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Datasets

Greatest papers with code

Object-Centric Learning with Slot Attention

NeurIPS 2020 google-research/google-research

Learning object-centric representations of complex scenes is a promising step towards enabling efficient abstract reasoning from low-level perceptual features.

OBJECT DISCOVERY

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

22 May 2019deepmind/spriteworld

Data efficiency and robustness to task-irrelevant perturbations are long-standing challenges for deep reinforcement learning algorithms.

CONTINUOUS CONTROL OBJECT DISCOVERY

MONet: Unsupervised Scene Decomposition and Representation

22 Jan 2019deepmind/multi_object_datasets

The ability to decompose scenes in terms of abstract building blocks is crucial for general intelligence.

LATENT VARIABLE MODELS OBJECT DISCOVERY

GuessWhat?! Visual object discovery through multi-modal dialogue

CVPR 2017 GuessWhatGame/guesswhat

Our key contribution is the collection of a large-scale dataset consisting of 150K human-played games with a total of 800K visual question-answer pairs on 66K images.

OBJECT DISCOVERY

Entity Abstraction in Visual Model-Based Reinforcement Learning

28 Oct 2019jcoreyes/OP3

This paper tests the hypothesis that modeling a scene in terms of entities and their local interactions, as opposed to modeling the scene globally, provides a significant benefit in generalizing to physical tasks in a combinatorial space the learner has not encountered before.

LATENT VARIABLE MODELS MODEL-BASED REINFORCEMENT LEARNING OBJECT DISCOVERY UNSUPERVISED REPRESENTATION LEARNING VARIATIONAL INFERENCE VIDEO PREDICTION

Reconstruction Bottlenecks in Object-Centric Generative Models

13 Jul 2020applied-ai-lab/genesis

A range of methods with suitable inductive biases exist to learn interpretable object-centric representations of images without supervision.

LATENT VARIABLE MODELS OBJECT DISCOVERY

Deep Patch Learning for Weakly Supervised Object Classification and Discovery

6 May 2017ppengtang/dpl

Patch-level image representation is very important for object classification and detection, since it is robust to spatial transformation, scale variation, and cluttered background.

CLASSIFICATION MULTIPLE INSTANCE LEARNING OBJECT CLASSIFICATION OBJECT DISCOVERY

Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video

23 Dec 2017aljosaosep/kitti-track-collection

We explore object discovery and detector adaptation based on unlabeled video sequences captured from a mobile platform.

AUTONOMOUS DRIVING OBJECT DISCOVERY OBJECT TRACKING

Unsupervised Layered Image Decomposition into Object Prototypes

29 Apr 2021monniert/dti-sprites

We present an unsupervised learning framework for decomposing images into layers of automatically discovered object models.

OBJECT DISCOVERY