Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1926–1950 of 2042 papers

Title	Date	Tasks	Status	Hype
PCANet: A Simple Deep Learning Baseline for Image Classification?	Apr 14, 2014	ClassificationDeep Learning	CodeCode Available	0
Gradient-based Laplacian Feature Selection	Apr 10, 2014	feature selectionObject Recognition	—Unverified	0
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition	Apr 2, 2014	Object Recognition	—Unverified	0
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	Apr 2, 2014	CPUGPU	—Unverified	0
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images	Mar 31, 2014	3D ReconstructionDistributed Optimization	—Unverified	0
Performance Evaluation of Raster Based Shape Vectors in Object Recognition	Mar 28, 2014	ObjectObject Recognition	—Unverified	0
Scene Labeling with Contextual Hierarchical Models	Feb 4, 2014	Edge DetectionImage Segmentation	—Unverified	0
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning	Jan 31, 2014	MULTI-VIEW LEARNINGObject Recognition	—Unverified	0
Learning Human Pose Estimation Features with Convolutional Networks	Dec 27, 2013	Object RecognitionPose Estimation	CodeCode Available	0
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	Dec 21, 2013	General ClassificationImage Classification	CodeCode Available	1
Unsupervised Feature Learning by Deep Sparse Coding	Dec 20, 2013	Object Recognition	—Unverified	0
Using Web Co-occurrence Statistics for Improving Image Categorization	Dec 19, 2013	Common Sense ReasoningImage Categorization	—Unverified	0
Some Improvements on Deep Convolutional Neural Network Based Image Classification	Dec 19, 2013	ClassificationGeneral Classification	CodeCode Available	2
Unsupervised feature learning by augmenting single images	Dec 18, 2013	Data AugmentationObject Recognition	—Unverified	0
Scalable Object Detection using Deep Neural Networks	Dec 8, 2013	Objectobject-detection	CodeCode Available	0
Dual coordinate solvers for large-scale structural SVMs	Dec 6, 2013	3D Object RecognitionAction Classification	—Unverified	0
Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction	Dec 1, 2013	AttributeFine-Grained Image Classification	—Unverified	0
Learning invariant representations and applications to face verification	Dec 1, 2013	Face VerificationObject Recognition	—Unverified	0
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream	Dec 1, 2013	ObjectObject Recognition	—Unverified	0
Reshaping Visual Datasets for Domain Adaptation	Dec 1, 2013	Activity RecognitionDomain Adaptation	—Unverified	0
Top-Down Regularization of Deep Belief Networks	Dec 1, 2013	global-optimizationObject Recognition	—Unverified	0
DeViSE: A Deep Visual-Semantic Embedding Model	Dec 1, 2013	modelObject	—Unverified	0
PANDA: Pose Aligned Networks for Deep Attribute Modeling	Nov 21, 2013	AttributeFacial Attribute Classification	CodeCode Available	0
Unsupervised Learning of Invariant Representations in Hierarchical Architectures	Nov 17, 2013	Object Recognitionspeech-recognition	—Unverified	0
Describing Textures in the Wild	Nov 14, 2013	Material RecognitionObject Recognition	CodeCode Available	1

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified