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Object Categorization

Object categorization identifies which label, from a given set, best corresponds to an image region defined by an input image and bounding box.

Papers

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Showing 11–20 of 80 papers

Title	Date	Tasks	Status	Hype	Score
Deep Learning Human Mind for Automated Visual Classification	Sep 1, 2016	ClassificationDeep Learning	CodeCode Available	0	5
Are we done with object recognition? The iCub robot's perspective	Sep 28, 2017	Deep LearningImage Retrieval	CodeCode Available	0	5
Cost-Effective Active Learning for Deep Image Classification	Jan 13, 2017	Active LearningClassification	CodeCode Available	0	5
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs	Sep 13, 2019	AnatomyBIG-bench Machine Learning	CodeCode Available	0	5
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models	Oct 3, 2022	3D Object RecognitionFine-Grained Image Classification	CodeCode Available	0	5
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization	Nov 15, 2021	DiagnosticObject	CodeCode Available	0	5
Data augmentation instead of explicit regularization	Jun 11, 2018	Data AugmentationObject Categorization	CodeCode Available	0	5
Collaborative Receptive Field Learning	Feb 2, 2014	General ClassificationObject Categorization	CodeCode Available	0	5
Learning robust visual representations using data augmentation invariance	Jun 11, 2019	Data AugmentationObject Categorization	CodeCode Available	0	5
Systematic evaluation of CNN advances on the ImageNet	Jun 7, 2016	Object Categorization	CodeCode Available	0	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Unified-IOXL	Categorization (ablation)	61.7	—	Unverified
2	GPV-2	Categorization (ablation)	54.7	—	Unverified
3	CLIP	Categorization (ablation)	48.1	—	Unverified
4	OFA_Large	Categorization (ablation)	22.6	—	Unverified