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 1751–1775 of 2042 papers

Title	Date	Tasks	Status
Sample-Efficient Learning of Novel Visual Concepts	Jun 15, 2023	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	CodeCode Available
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds	Jun 16, 2025	3D Object RecognitionObject Recognition	CodeCode Available
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks	Jun 16, 2022	BenchmarkingDynamic neural networks	CodeCode Available
Scalable Bayesian Optimization Using Deep Neural Networks	Feb 19, 2015	Bayesian OptimizationCaption Generation	CodeCode Available
Scalable Object Detection using Deep Neural Networks	Dec 8, 2013	Objectobject-detection	CodeCode Available
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset	Aug 26, 2021	Boundary DetectionInstance Segmentation	CodeCode Available
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream	Nov 8, 2024	Brain DecodingInductive Bias	CodeCode Available
CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors	May 21, 2023	Object RecognitionTransfer Learning	CodeCode Available
STDP-based spiking deep convolutional neural networks for object recognition	Nov 4, 2016	Object Recognition	CodeCode Available
Scaling Vision Transformers to 22 Billion Parameters	Feb 10, 2023	Action ClassificationFairness	CodeCode Available
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks	Jan 29, 2018	image-classificationImage Classification	CodeCode Available
Hierarchical Superpixel Segmentation via Structural Information Theory	Jan 13, 2025	graph constructiongraph partitioning	CodeCode Available
Persistent Homology Meets Object Unity: Object Recognition in Clutter	May 5, 2023	ObjectObject Recognition	CodeCode Available
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data	Mar 19, 2017	Object RecognitionWeakly-supervised Learning	CodeCode Available
CORe50: a New Dataset and Benchmark for Continuous Object Recognition	May 9, 2017	Continuous Object RecognitionLifelong learning	CodeCode Available
Striving for Simplicity: The All Convolutional Net	Dec 21, 2014	AllImage Classification	CodeCode Available
Distinctive Image Features from Scale-Invariant Keypoints	Jan 5, 2004	Image RegistrationObject	CodeCode Available
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network	Mar 26, 2020	General ClassificationMedical Diagnosis	CodeCode Available
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies	Apr 11, 2023	Object Recognition	CodeCode Available
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild	May 13, 2016	Few-Shot LearningGeneralized Zero-Shot Learning	CodeCode Available
AGA: Attribute Guided Augmentation	Dec 8, 2016	AttributeData Augmentation	CodeCode Available
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions	May 22, 2023	Continual LearningObject Recognition	CodeCode Available
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?	Sep 23, 2021	Object RecognitionRepresentation Learning	CodeCode Available
Scene Recognition by Combining Local and Global Image Descriptors	Feb 21, 2017	Object RecognitionScene Recognition	CodeCode Available
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information	Jun 10, 2023	ObjectObject Recognition	CodeCode Available

Show:10 25 50

← PrevPage 71 of 82Next →

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